Internet Of Things In Health: See How It Works

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Internet Of Things In Health: See How It Works

Internet Of Things In Health: The internet was created in 1969, and its initial functionality was only for educational use, more precisely at the University of California.

At the time, the main objective was to exchange information between research laboratories and such technology was called ARPANET. 

But the internet we know today was “created” in 1989 by Tim Berners Lee. Today the internet has gone beyond the simple purpose of exchanging information. 

In practice, the internet has become a new reality for us, and, despite not being physical, it is real and can be “touched” through our smartphones, tablets and computers. 

There are several concepts within what we know as the internet, such as the machine learning method. This exists thanks to the technological advances that the internet has provided.

In this context, we will address the Internet of Things (IoT), better known as IoT. IoT is applicable in all areas, from agriculture to education. And, of course, it is no different in the area of ​​health! 

The health area invests the most in technologies to improve how they work and provide the best care to the patients served.

The contributions of IoT in health are not only important, but they are also becoming a staple for the sector. The Internet of Things in healthcare is wider than just professionals such as doctors and nurses but also patients.

What Is The Internet Of Things? 

The Internet of Things is not just a concept but a use. Think of it like this: a device assists the patient in a hospital, sending information to the doctor’s smartphone. This information serves to promote the best care for the patient. 

This small example is IoT: devices that connect and talk to each other, sending pertinent information about some action. 

Another general example is a house with a smart light bulb, where you request from your smartphone that the light in the room be turned on, and the light bulb be turned on. Do you understand how it works?

These devices are connected and send information to each other without human interaction. In practice, it is clear that they need to be compatible for this connection to exist, but the fact that they are connected already puts the IoT into practice. 

In health, over time, this technology is acquiring an important role. Especially after the pandemic period of previous years, which caused this technology to evolve.

Internet Of Things In Healthcare

As mentioned above, health is an area that invests heavily in technology. From innovations to registering and scheduling patients to perform surgical procedures.  In any case, the technology is there. There is a classification of smart devices, namely:

  • Internal devices;
  • External devices;
  • Fixed devices;

Internal Devices

They are those that go internally in the patient’s body. They aim to help an organ or even replace those in trouble. Of course, it does not apply to all organs, but it is still a technology used by modern medicine.

External Devices

They are devices that accompany the patient to help him, such as biosensor devices, which are in contact with the skin and thus manage to monitor some aspects of the patient’s health. 

Monitoring wristbands showing the wearer’s heart rate or blood oxygen saturation level are examples of external devices. 

Fixed Devices 

They are devices in health organizations, such as hospitals and clinics. They are operated by professionals and used by patients under medical supervision. 

Conclusion

The Internet of Things in health provides more quality for the patient, considering that using these devices guarantees greater health safety. 

For example, there is smart milk technology, and smart beds are beds that monitor the patient without needing a nurse or doctor to be present at all times. 

These beds send information about the patient’s health status to the professionals’ smartphones.

As the IoT performs activities that were once done physically, this automation gives freedom for health professionals to pay attention to the demands that need a professional look.

Also Read: Internet Of Things (IoT) Security And Privacy

How Can Business Intelligence Improve IT Productivity?

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How Can Business Intelligence Improve IT Productivity?

Do you use business intelligence in your company? To remain competitive, companies have invested in technology to make forecasts and anticipate trends that may appear in the market, creating a real technological race.

After all, we know how risky it is to stay behind when keeping up with the news, right? In addition to technological innovations themselves, there is human behavior itself, which has changed with the advent of technology. The problem is that, in the market, there are few tools capable of generating relevant information for your company, so how to proceed?

When you finish reading the article, you will understand how business intelligence can improve productivity and bring significant results to your company. But first, understand more about what this technology is.

Understand What Business Intelligence Is

Practically, Business Intelligence goes beyond a simple tool. This is because the practice needs, in addition to data analysis software, to develop intelligent processes to deliver the best results to its clients.

That said, the software is responsible for processing the collected information to deliver a complete analysis that will, in turn, be interpreted by your development team.

By delegating the complex analysis task to the software, your team can focus on their respective areas of expertise, improving the delivery strategy and quality.

Anticipate Trends And Risks

To develop in the market, we know how fundamental it is to be ahead of the competition, but you need to know how to observe the trends and opportunities that may appear.

The point is that crossing data obtained both outside and inside the company can be challenging if the company needs an appropriate tool for analysis.

For this reason, BI emerges as a great choice in presenting innovations that may happen, both in the coming months and in the coming years.

The strategy is based on facts, making it possible to project, with greater clarity, the best that may emerge in the market. However, there is a minimal amount of errors that may occur in your process.

Streamline Decision Making

Do you worry about watching the competition to understand their next move? Know that just using practice could be more efficient if you want to stand out in the market.

For this, you must focus on your reality and seek to create differentials in your business by collecting consistent information to facilitate decision-making.

The problem is that manual practice can generate biased information and consume a good part of your team’s time, returning great costs to your business.

On the other hand, when using BI, your team analyzes information through complex calculations, so you only need to develop an efficient plan with the information generated. This brings greater autonomy and agility when deciding on one path or another.

Avoid Wasting Information And Data

One of the biggest problems encountered by a company that does not use BI is the difficulty of using the information collected in its database, resulting in the waste of information that could be useful for the company.

In this way, the practice becomes costly, resulting only in generating numbers, statistics, and data with no real use for your team. After all, we know how complicated it is to extract information from different sources, such as CRM, documents, files, spreadsheets, and ERP.

With business intelligence, the company starts to collect data from the above sources with better efficiency, making it possible to transform the information into efficient and concise indicators and metrics.

Decrease Market Reaction Time

To keep a company competitive in the market, we know how fundamental it is for the company to be prepared for future changes.

Be it technological changes or changes in people’s behavior, by relying on business intelligence technology, you have access to very important data capable of anticipating trends that may happen.

Thus, the development team will be prepared to develop proactive strategies to attract the target audience.

Improve Customer Relationship

One of the biggest challenges companies face is maintaining a good relationship with the corporation’s customers, but where can BI help in this?

Whether to offer the best service or the right product, asserting data analysis can generate better strategies to persuade users.

Through business intelligence, the company can quickly collect user information, from previous purchases to recently researched subjects, being efficient when it comes to understanding their behavior.

Also Read: Metaverse x Business: Technology From A Marketing PoV

What Are The Biggest Challenges Of Cloud Storage?

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What Are The Biggest Challenges Of Cloud Storage?

Challenges of Cloud Storage: Key data is that 94% of respondents adopt cloud strategies, maintaining a balance between public and private clouds.

In addition, the business use of the cloud, according to the survey, also pointed out that its use leads to significant and rapid growth, which shows the strength of this trend in the IT market.

However, its use is also surrounded by challenges that need to be considered by organizations when adopting it. Keep reading and learn more about the main ones!

Meet The Growing Demand For Cloud Storage

The growth in demand for cloud storage in recent years has been very positive. However, at the same time, it is challenging; after all, providing the same quality service is necessary, whether for tens of thousands of customers.

That is why one of the biggest and most complex challenges of cloud storage is to maintain impeccable quality in the face of increased demand with the same quality, including, in this process, care for customer service and support in case of problems.

Adapt To The Multi-Cloud Environment

The multi-cloud environment emerged as a way to simplify developers’ lives and provide greater productivity for organizations. It consists of more than one service and one cloud provider, whether public or private.

Getting closer to an ideal cloud solution for your company’s proposal is important, something that might only partially be achieved by opting for just one type of cloud.

However, to opt for this model, it is necessary to adapt to it since it requires the transition to two types of cloud and coexists with hybrid clouds. For this, following up with a specialized consultancy may be necessary.

It is important to remember that the Flex-era report pointed out that using this environment is leading to the growth of IT companies. In other words, it is a challenge worth facing.

Support Cloud Containers

Cloud containers are a strong trend for the coming years in the IT sector, especially in companies that work continuously with DevOps and test operations. This is because, through this system, developers can store the organization’s data in virtualized boxes ( containers ), regardless of the system in which they are hosted.

This type of process facilitates data migration, application of tests, and validation of changes, achieving much faster deliveries to the end customer, something increasingly necessary in the various IT sectors. In addition, it allows the management of codes and data practically and in real-time, that is, instantly.

However, for this to work, cloud storage must provide all the necessary support for development teams.

Stay Up To Date Constantly

Every specialized area has this constant challenge in its routines. And for employees who work with cloud storage, it is no different. After all, as it is an increasingly strategic area for all organizations, including those that do not work directly with technology, creative and innovative solutions are developed practically every day.

In addition, it is essential to check the trends for the near future, what the market has absorbed, and the main failures that have occurred at the moment so that you can think of solutions to these issues.

Therefore, read reports from the major companies in the area, follow the research, and trends from renowned organizations, check lectures and congresses, and keep up to date.

Promote A Consistent Migration To Cloud Storage

Many companies still operate with physical storage, starting to migrate now. This procedure is extremely delicate and requires attention from IT managers to be done properly.

It is necessary to draw up a consistent migration plan, analyze the previous situation, verify strong and vulnerable points that deserve greater attention, and carry out the process with the least possible failure.

It is also essential to assess the organization’s real needs regarding migration, the best type of system to implement, and what type of cloud computing is most compatible with the company’s needs (SaaS, PaaS, IaaS), among others—other important points.

One way to get around this challenge is to hire teams specialized in this type of service, which will provide the necessary advice to carry out a migration without trauma and damage to organizations.

Dealing with internet network instabilities

Network connection instability generates a very delicate problem for those who work with cloud storage.

Some regions experience problems such as high package prices or connections that constantly fail, in addition to speeds below what is necessary for adequate service.

Unfortunately, this is a structural issue that is considerably evaded by companies but needs to be considered when providing services to outsourced clients in regions suffering from these difficulties.

Optimize Cloud Storage Spend

Another key point to be faced as a challenge is the optimization of expenses with cloud storage. After all, every business wants and needs to do more with less money.

In addition, it is essential to maintain quality in optimizing expenses. After all, you can’t reduce costs and lose the quality of the service offered, can you? For example, hiring a cloud server that is not so good for cost reduction can be a shot in the foot.

Ensuring The Security Of Data

The growth of cloud computing leads to an important issue: the visibility and attention of cyber criminals, who see opportunities to obtain data for bank fraud and data kidnapping, among other points that deserve attention. Therefore, IT managers must focus on security solutions to ensure data integrity.

More and more companies that provide cloud services are also dedicated to improving this issue to protect their customers’ information and file security.

For example, currently, information can be broken down to be stored on several servers. Thus, if the hacker accesses one of them, he will have, for example, access to one-hundredth of the whole, which will be useless for a criminal action.

Also Read: Discover 6 Benefits Of Adopting An ERP In The Cloud!

Discover 6 Benefits Of Adopting An ERP In The Cloud!

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Discover 6 Benefits Of Adopting An ERP In The Cloud!

Every manager needs good reasons to adopt some technology. For this reason, we will present some reasons to consider the implementation of an ERP in the cloud, a useful tool for cost reduction, security, and better use of resources.

This solution is so interesting that it is widely used in business contexts: one in four companies has already implemented it. If you want to know more about this and learn how to choose a provider, follow the article until the end!

Benefits Of An ERP In The Cloud

We will now see some benefits of adopting enterprise resource planning (ERP) using cloud technology. 

Constant Backups

ERP in the cloud is characterized by frequent backups to protect the company’s documents and avoid operational stops. With the help of these backup copies, it is possible to guarantee the availability of relevant company data and optimize day-to-day activities. 

An interesting fact about backups is that they are proactive actions focused on managing and mitigating risks before they arise or become greater. Thus, management works to achieve agility and fluidity for IT without repairing inconveniences in a hurry.

Remote Access

Another feature of cloud ERP is remote access. Company members can access the system’s modules on any device at any time, requiring only an internet connection.

This facilitates analysis and optimizes routine operations, eliminating operational bottlenecks and delays in delivering results. In this way, the company can meet the dynamic demand of the market and remain competitive.

Security

In addition, security is also enhanced. Systems stored in the cloud offer several features that seek to ensure data protection and reduce common risks. The fact that the cloud is based on decentralized storage already represents an increased focus on defense against threats.

With the possibility of backup, encryption solutions, and disaster recovery, employees work calmly without fearing the main problems. Conversely, managers focus on the core of the business and manage people so that objectives are achieved. In addition, support and monitoring ensure that everything is always working with high quality and consistency.

Flexibility 

The ERP deployed in the cloud also offers greater flexibility for sector management. This type of solution is characterized by a good ability to adapt to the needs of companies and evolution according to the user’s needs. Systems are frequently updated to be more robust and provide more customization possibilities.

The cloud is associated with a service charge related to the complexity of the system to be used. The company can easily customize the application and search for the modules that matter to the business context, thus investing an appropriate amount.

At this point, it is also worth highlighting scalability. This concept is linked to the automatic increase in the capacity of an application whenever the user needs it — which is practically impossible in the physical and traditional storage model. This is critical for companies to expand resources and deal with market dynamics. 

Increased Productivity

Another characteristic that demonstrates the importance of this type of system is the increase in productivity. With the integration of different parts of the company  — the proposal of an ERP software —and more efficient communication and quick access, the internal teams increase the productive capacity and deliver more results in less time. 

That is, the organization can develop more solutions with the same resources. This avoids the need for large investments to leverage growth. This increase in production agility is the foundation for the healthy continuity of operations. 

Fewer Costs 

Using an ERP system in the cloud means the company’s management will not bear unnecessary expenses. This includes using biological material to record process-related information, and the cloud helps eliminate the need for physical infrastructure.

In addition, it also refers to the reduction of the time to deliver the results. With fewer resources being consumed, fewer costs are required. The corporation gets to enjoy the other benefits mentioned without investing wildly. You only need to spend a simple to-manage fee related to the cloud service.

Also Read: What Are The Challenges Of Server Less Computing?

What Are The Challenges Of Server Less Computing?

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What Are The Challenges Of Server Less Computing?

Suppose you’re considering implementing server less computing in your company to obtain all the benefits mentioned here.

In that case, it’s time to pay attention to the challenges the project will put in front of you—a few points to watch out for that need to be on your radar during implementation.

Investing In Server Less Computing

Intensifies The Synergy Between Sectors Of The Company Study

As the resources offered by server less computing are adaptable according to the production and operation of each company sector, it is much easier to create synergy between professionals from different areas.

The model offers, at the same time, integration between processes in a single system and flexibility of tools so that each task is carried out in the most optimized way possible within the context of an operational chain. This is good for the organization in the long run and is associated with benefits such as more productivity, efficiency, and less waste of resources.

It’s A Competitive Advantage For The Future

Lastly, investing in server less computing is a way to use all these advantages to gain more competitiveness in the future. Success in a digital market is turning to process optimization, delivery agility, and the speed to adjust to new directions and take advantage of new opportunities.

Challenges Of Server Less Computing

A few points to watch out for that need to be on your radar during implementation.

Connection Speed

The main point is your relationship with the internet provider and its ability to offer the speed and stability that server less computing requires. As your entire server will be migrated to the cloud, your internet needs to be in good shape to handle the job.

The first step before implementation should be to assess the average speeds and amount of uptime your business gets every day.

A bad connection can jeopardize all your work with server less computing, leaving the company inoperable for long periods. If you don’t have an excellent corporate network, start with a high-capacity network project. Only when it is completed and implemented can you migrate to server less computing?

Hardware Scalability

There is yet another critical point in transforming your company into a server less organization, the ability to scale when it comes to hardware. Many forget that although much of corporate computing is in the cloud, employees’ tools must support day-to-day tasks and be ready to scale with the organization.

Cloud, and server less computing, offer unlimited scalability, which is excellent for businesses. But most of them choose to keep local network resources and must be careful to ensure that these resources are scalable and compatible with the expected growth of the business.

Invest In Monitoring

Another essential aspect of the success of server less computing is application monitoring. You will have access to essential monitoring tools by implementing them, but they probably won’t be enough to master your server less fully.

Most tools analyze metrics such as the number of errors and concurrency. Still, you will also want to know the number of invocations, the total cost of server less, and the amount of memory used by your team, among many other important data, to evaluate the tool’s efficiency and cost-effectiveness.

Therefore, invest in a complete monitoring feature as soon as possible. Some options, such as Dashboard and New Relic, offer integration with most server less providers, in addition to metrics that make all the difference.

Server less computing is the evolution of a model that is already consolidated and always seeks practices, methods, and technologies to make life easier for IT professionals. Without worrying once and for all about system management and maintenance, you are much more comfortable planning and finding innovative solutions that win over your audience.

Suppose that’s the flexibility and confidence you need for more cost-effective and efficient processes. In that case, it’s time to start researching the subject further and find companies that will point you in the right direction.

Also Read: What Are The Main Characteristics Of A Cloud Server?

Machine Learning Applied In Company Data Management

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Machine Learning Applied In Company Data Management

One of the most prominent technologies of recent years, machine learning, is a method that uses algorithms capable of learning autonomously.

Derived from artificial intelligence, this technology that grows year after year is increasingly being used by companies of all sizes to improve internal processes and intelligent data analysis for management.

Most enterprises use this technology to gain a market advantage, taking advantage of the large amount of data produced from multiple sources to extract accurate insights and analyses that would be difficult to achieve manually.

The big difference between machine learning software is that they improve themselves with data analysis and as they are used, resulting in a continuous improvement process. This post will explain how this tool can be used in data management. Check out!

Enables Dynamic Pricing

Dynamic pricing is a technique for changing the prices of products and services with a focus on inventory control and increased profitability. This tactic generates discounts or promotions that facilitate the sale of certain products. Increasing prices at certain times is also possible to increase the profit margin.

Price changes are not made randomly, as the algorithm, through data crossing, analyzes several factors, such as demand for the product at the time of purchase, customer interest level, consumer involvement in a given marketing campaign, and up to the time the goods are in stock.

These calculations are possible thanks to the union between big data and machine learning. Applications such as Uber and 99 Pop use dynamic pricing to set the price of their trips, calculating the amount when the user makes the request.

Facilitates Content Management And Analysis

We discussed above the enormous amount of data a company produces and has access to today. Analyzing the details of all this information manually or with a fixed system can make the business miss many opportunities.

The management and analysis of this content can be simplified using machine learning. The technology can autonomously recognize people, products, logos, and other symbols that need a human evaluation to be identified, making the data structure much more refined.

Assists In Fraud Detection And Prevention

As data becomes more valuable, concerns about digital security increase. Machine learning is one of the technologies that help protect, secure, and integrity of data and systems.

One of the ways to reduce fraud losses is with the use of deviation detection. In this case, the software identifies ideal behavior models, preventing any interaction that deviates from this pattern. These algorithms take into account factors such as:

  • a customer’s history;
  • personal information;
  • previous transactions;
  • social network data;
  • geolocation, among other information.

The more it is used, the more the algorithm gains references about the patterns and the more refined it becomes to identify the deviations.

Banks and credit card companies use this solution — if your card is used to purchase at a value other than the default, in a place you are not used to frequenting, the algorithm will likely detect a Detour.

You can notify your email or smartphone or even block the card from there. It is the exact mechanism social networks use when we access it from an “unknown” device or location.

Improves Predictive Analytics

One of the most famous cases of predictive analytics happened at the American retail giant Target. Using machine learning and big data, the company identified a pattern in the buying habits of its pregnant customers. From there, it began to identify customers who would be mothers, offering discounts and promotions on specific products, such as diapers, strollers, lotions, etc.

But it didn’t stop there: as machine learning is a technology that improves autonomously, over time, the algorithm became so precise that it became possible to identify even the month of management, making product indication even more accurate.

Predictive analytics can identify external trends, such as general preference and competitor assessment, and internal assessments, such as increased productivity and safety.

Enables Demand Forecasting

With a good demand forecast, the organization can take full advantage of the potential to sell more in peak seasons. In addition, this technique helps to prevent waste and damage when you have low periods. For these projections to be made correctly, a series of data must be gathered that involve public behavior, specific dates, productive capacity, and internal and market history.

The enterprise must rely on machine learning to gather, analyze, and extract insights from this data. Based on data processing and with the help of intelligent algorithms, it will be possible to make demand forecasts considering the economic, market, and financial factors.

Enables The Use Of Augmented Analytics

It is a sector of augmented intelligence that focuses on the ability of the algorithm to consult and support decision-making. The objective is to skip the data analysis stage, focusing only on the results so that more strategic choices can be made. It is an evolution of the current machine learning model that will increasingly streamline management capacity.

As we have seen, machine learning consists of developing algorithms that learn and evolve autonomously. Using the capacity of knowledge of patterns and data analysis, the companies considerably enhance their competitive capacity, getting in tune with digital transformation.

Also Read: When Did Artificial Intelligence Become Machine Learning?

Artificial Intelligence And Marketing Automation

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Artificial Intelligence And Marketing Automation

Artificial Intelligence and Marketing Automation: To become a competitive company with above-average results in the Digital Era, it is necessary to be aware of all the innovations and advances in the market.

In recent years, one of the most significant technological advances from a marketing point of view has been using Artificial Intelligence for business purposes.

Nowadays, AI is almost necessary and no longer a decisive factor in the competition. Therefore, understanding the different uses of this technology is crucial for anyone who wants to stay active and with good results. 

Among the sectors that most enjoy using AI is Marketing because, with Artificial Intelligence, it is possible to predict and anticipate consumer behavior, giving professionals a much more significant and assertive strategic planning margin.

Furthermore, in the Digital Age, a massive volume of information and data is produced on the internet at every moment. To deal with this, it is essential to rely on the power of technology.

According to an IDC report, the amount of data created, captured, copied, and consumed could reach up to 175 trillion gigabytes by 2025.

As you can see from the statistics above, without having the best technological tools available on the market, the chances of getting lost in a world of information, without knowing correctly how to act or what steps to take, are very high.

However, to better understand the subject, we will explain more about artificial intelligence and its relationship with marketing and business.

What Is Artificial Intelligence?

Artificial Intelligence represents one of the most significant technological advances today. Thus, the machines can reproduce logical intelligence autonomously using databases, not following specific orders, and without real-time monitoring or programming.

This means that with Artificial Intelligence, it is possible to make machines generate even more refined and personalized intelligence actions.

Take the case, for example, of virtual assistants that have become popular, such as Siri, Google Assistance, or the famous Alexa. All of these use Artificial Intelligence to create a unique and personalized service. 

Understanding The Role Of Artificial Intelligence In Marketing Automation

If Artificial Intelligence has such great power when applied to business today, its results are even more surprising. And as mentioned earlier, the Marketing sector is one of those that earns the most from its use within a company.

As we have mentioned here on our blog, a new consumer profile has emerged with the digital transformation, which has been dictating more and more rules in the market. 

Nowadays, consumers have a diversified profile; they are increasingly empowered, with purchasing behavior influenced by several factors, including the internet. And that’s why having access to a tool that reads these profiles is fundamental to the success of any marketing strategy.

The new public entering the market now, also known as ‘generation Z,’ are young consumers with strong purchasing power and are a classic and very representative profile of this new type of consumption.

They want to be heard, want personalized communication, are engaged with causes – even more than with brands – and primarily use the internet to shop.

So, how to communicate with this audience effectively? Perhaps the most assertive answer to this question is in the creation of ‘relationships.’ 

Creating consumer relationships is a vision that is very present in inbound marketing. It has gained a lot of strength in the market due to its commercial effectiveness.

This article explains what a sales funnel is and why it is a crucial business strategy. And the sales funnel is one of the fundamental pieces of relationship marketing and marketing automation, which makes all these constructive processes possible with the customer.

And Artificial Intelligence is a real revolution in Marketing Automation. That’s because, based on it, we gained powerful insights, increasing the chances of building more profitable relationships and achieving better results.

In addition, Artificial Intelligence allows the automation of processes, which reduces routine work that requires time and skilled labor. Thus, it is possible to have more dynamic actions, with agility and assertiveness in the results.

Artificial Intelligence in Marketing Automation generates several benefits for professionals. By using AI, they can:

  • Better plan your campaigns and achieve better results based on data;
  • Communicate more easily with your consumer and in a more personalized way;
  • Develop sales strategies based on niches and consumer types in a more segmented way;
  • Increase profitability and financial results above average through more effective campaigns;
  • Saving resources and avoiding waste in non-customized marketing actions that do not reach the right audience.

In this way, when defining your strategies using Artificial Intelligence and automation tools, it is possible to have even more promising results.

In addition, it is always good to remember that data use is fundamental to any strategy’s success. With the right tools, you will have clear and objective data available.

Salesforce Marketing Automation

Now that you understand the importance of Marketing Automation and how Artificial Intelligence contributes to business, you must wonder how to use them in your company.

Nowadays, we have some options available in the market that offer this type of possibility. However, without a doubt, Salesforce is ahead of the competition once again regarding Artificial Intelligence and automation tools. 

Getting To Know Marketing Cloud

Marketing Cloud is a Marketing Automation tool from Salesforce, a market leader, created to improve the relationship with the customer, allowing several actions and providing numerous functionalities.

Through the tool, it is possible, for example, to create contact journeys with leads and customers in an intelligent way, building relationships and contributing to the success of campaigns and commercial and sales strategies.

Marketing Cloud has several features specially designed to connect data across multiple sources, devices, and channels, creating a unified view of the consumer.

Using the tool, you can:

  • Better manage your leads;
  • Structure complete email marketing campaigns;
  • Better engagement on social media;
  • Integrate data from multiple sources;
  • And much more!

Thus, the Marketing Cloud features benefit both medium and large companies.

Also Read: When Did Artificial Intelligence Become Machine Learning?

Metaverse x Business: Technology From A Marketing PoV

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Metaverse x Business: Technology From A Marketing PoV

The Metaverse is already a reality that different organizations have increasingly discussed and worked on. However, the subject seems distant when we look at it from a marketing point of view.

After all, are companies already implementing this innovation? Is it possible to benefit from it? As these are increasingly common questions, we brought some information about the concept and a discussion related to the corporate environment.

What Is The Metaverse?

After META – An organization that brings together Facebook, WhatsApp, and Instagram – announced in 2021 a billionaire investor in the creation of technology, the subject was on the agenda and became a fever among those passionate about innovation, even though the concept of Metaverse has existed since the decade from 90.

In general, the Metaverse can be understood as an extension of the physical world in the virtual environment. But why is there so much buzz about it? Because he promises to revolutionize the way we live and see the world in the not-so-distant future.

In practice, it is a shared online space that allows users to talk, walk and visualize themselves in a three-dimensional environment. That is everyday actions in a fully connected and digital environment.

This is made possible by the integration of various technologies, such as the internet of things (IoT), augmented reality (AR), virtual reality (VR), artificial intelligence (AI), 5G internet, as well as new models of work and interaction between people, as is the case with social networks. 

In Metaverse, the user can participate in the virtual world whenever he wants through accessories such as VR/AR glasses, online avatars, and digital lands. These can be invented spaces, purchased on specialized sites, or simulated in a physical environment. 

In Addition To Entertainment, How Is Metaverse Already Part Of Companies?

The concept of the Metaverse is an absolute daze for anyone passionate about technology. But how would it work in the natural, capitalist world of companies, businesses, and commerce? This is a recurring question in the industry.

Nowadays, several companies are making investments and creating a passage to the Metaverse, which makes the technology stronger and stronger in the market. 

However, according to Gartner, innovation will have a unique understanding or be limited to specific numbers by 2029. As predicted, it won’t be long before this happens. 

And with so much money involved, it is a fact that the Metaverse is a significant market trend, which goes against Digital Transformation and the new possibilities brought by technological resources. To make your implementation more precise, let’s look at some examples:

Creating Virtual Work Environments

Imagine having a remote team that manages to meet, work, and develop projects, among other activities, as if inside the same office. This is already becoming a reality within Metaverse, which aims to optimize the sensory and immersive experience further.

For this to be possible, employees would use unique VR and AR glasses, being transported to a collaborative virtual environment represented by avatars. 

The Facebook company, which created the concept, is already developing Horizon Workrooms, which simulates a virtual work environment and allows interaction between teams capable of gesturing and making different facial expressions.

Furthermore, today there are already video conferencing systems that allow participants to join online meetings with animated 3D avatars, as is the case with Microsoft Teams.

Marketing Strategies

Marketing will undoubtedly be one of the areas that will use the Metaverse the most in creating its campaigns. Taking advantage of the gaming segment, where it is necessary to create an avatar to participate, as is the case with Rob-lox and Fort nite, luxury brands have been betting on the concept.

This is the case, for example, of the Balenciaga brand, which created four virtual clothes to be used by Fort-nite avatars. 

Around here, Renter tested a virtual environment through Brenner Play. The brand launched a map within the same game that simulated a physical store. QR Codes were provided in the simulation, directing users to their e-commerce.

Another way to do Marketing in the Metaverse is with virtual influencers, such as Lu from retailer Magalu.  

Allies Of Multichannel Sales

In the e-commerce sector, the union between the physical and digital environments is also one of the big bets. Technology can allow the development of virtual store environments where consumers can try products and check important details before buying. 

Another possibility for e-commerce is to promote virtual tours, as the American retailer American Girl created a digital version of its physical store.

The Gucci brand also took bold and creative action, creating a version of a sneaker that only exists in the virtual world and can be used only in that environment. It works like a filter, appearing when you point the device’s camera at your feet, taking a picture of your shoes.

Also Read: How To Use Data Analysis For Marketing In Your Company?

How To Use Data Analysis For Marketing In Your Company?

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How To Use Data Analysis For Marketing In Your Company?

Does your company use data analysis for marketing? If the answer is negative, know that it may be losing ground to competitors due to the digital transformation we live in.

Organizations and digital entrepreneurs must adapt to the data-driven culture to achieve the best possible results in each sector. And it would be the same in the case of the Marketing area.

Marketing is the creative sector of companies, where minds come together to devise strategies to retain more customers, prospect new ones, and positively spread the image in the market.

In the digital world’s changes to market dynamics, making decisions “in the dark” based on guesswork and “feelings” from professionals has become outdated and inefficient.

Today, it is essential to have a data analysis structure for marketing focused on collecting the most relevant and secure information to support the teams’ actions—all this to gain public trust.

How Critical Is Data Analysis For Marketing?

Efficiency. This is the keyword to define the importance of implementing intelligent data analysis for any business that needs to use digital to its advantage.

The Internet, through analytics tools, provides an enormous amount of data which the Marketing areas can consult to improve the performance of their businesses.

Through Big Data technology, companies can remotely consult valuable information about their performance and customer interaction with their brand and even monitor competitors’ performance.

A sophisticated data analysis platform can present numbers and information on dashboards and generate insights that guide decision-makers safely and effectively.

In this way, for the Marketing area, the strategy can be thought out more precisely than it would be done based on guesswork. For example, indicators of ROI, Customer Success, and the company’s profit in general only tend to grow.

Not only is an increase in the effectiveness of the results visible, but also the increase in efficiency in the processes. Data analysis platforms for marketing with intelligence technologies save teams time and money in finding the best solutions to problems.

In addition to software working automatically and faster than humans, the possibilities of errors and rework are reduced, which would cost more time and money.

How Does Data Analysis For Marketing Work?

Data analysis for marketing works through a process divided into steps that help teams optimize their results from the perception of mistakes and successes that occurred in the past.

With the large volume of external and internal data, it is necessary to filter the most relevant information for your business strategy and action plan.

After tracking this data, automation software with intelligence technology acts to identify patterns and bring expected answers intended to guide the Marketing team’s performance.

The indicators and feedback of an intelligent data analysis generate solutions so that your marketing strategies have the best possible results. With practice, you can:

  • monitor the behavioral profile of customers to make compelling offers;
  • trace mistakes and successes of previous strategies;
  • monitoring essential indicators, such as customer success with the brand;
  • monitor the competition;
  • and assess whether the company’s actions align with previously established objectives.

In this way, data analysis for intelligent marketing is essential for reading dashboards and information and offering insights based on objective information.

In Short

Data analysis for marketing, especially with the support of intelligence technologies, is fundamental, right?

Fundamental to remain increasingly competitive in a digital scenario in which we have daily information regarding the market and customers of our companies at our disposal.

In this context, having a data analysis platform for marketing becomes a differential for the growth of any digital business. 

Because with it, it is possible to monitor the performance of your marketing strategies, evaluate the performance of competitors, receive updates on ROI and Customer Success indicators, and thus constantly improve your actions.

Also Read: Sensory Marketing: How Can It Help You Sell More?

Benefits Of Automation For WhatsApp And The Healthcare Industry

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Benefits Of Automation For WhatsApp And The Healthcare Industry

The messaging app has become the second-largest social media platform in the world. You can already imagine that WhatsApp automation will benefit the health sector.

But what are they? In this post, we list six. In addition, you will also find out about the automation possibilities for WhatsApp in the healthcare sector. Do you want to check out the article with us? Keep on reading.

What Are The Benefits Of Automation For WhatsApp In The Healthcare Sector?

Before talking about the benefits of automation for WhatsApp, it is necessary to tell a little about the history of the application. The app emerged as a messenger; that is, it facilitates communication between people.

However, it has evolved, and now, with WhatsApp Business aimed at companies and health institutions, it optimizes customer contact, thus making the service closer and more agile. But then, what are the benefits for the health sector? See how the list we prepared.

It Helps To Organize The Service

It doesn’t matter if you work in a medical clinic, hospital, operator, or any company in the healthcare industry. WhatsApp Business helps organize care and patient flow. This happens because it makes reception more productive.

Therefore, it is easier to schedule or cancel patient appointments and exams. In addition, it is also a way to offer personalized service.

Builds Patient Loyalty

Who prefers to avoid receiving special attention when scheduling an appointment or medical examination? WhatsApp helps build patient loyalty because they understand how important they are when they receive messages from the health sector.

In addition, WhatsApp brings a sense of security as it shows patients how easy it is to maintain communication with the healthcare industry. Not to mention that you can forward announcements to your transmission list, inform recesses and also news.

Analyze Message Statistics

With WhatsApp, you analyze message statistics, as the tool provides metrics. You also check the receive, open, reply and conversion rates. Avoid booking last-minute appointments.

This is an advantage, especially for medical clinics. WhatsApp avoids booking last-minute appointments, as you can schedule the patient’s vacancy in advance. That way, you don’t keep him waiting, either. Not to mention that this is an advantage for health professionals, who do not have to deal with unforeseen events.

Clarifies Doubts About The Health Sector

WhatsApp also clarifies patients’ doubts regarding the health sector. It is more direct contact with who is responsible for the information.

In addition, patients feel safe since they know that access to information is fast and they can count on a good healthcare team. Thus, the patient knows he will always have a professional willing to assist him at the specified times.

Update Registration Forms

The application also makes it possible to update patient registration forms. Imagine that you work in a medical clinic. For example, you can update patient records through the messaging application by sending an online questionnaire for people to update the data.

In this way, the patient will be able to answer the questions quickly, objectively, and in the comfort of home. In addition, you can ask the patient any questions you may have just by sending a message.

How To Use WhatsApp In The Healthcare Industry?

See how you can use the WhatsApp application in the healthcare sector:

Service

You know that story where the first impression lasts? Therefore, use WhatsApp automation to invest in good service. Be considerate and efficient with those looking for the health sector.

Think of WhatsApp as an app that will help you with the following:

  • appointment scheduling;
  • clarification of doubts;
  • customer support.

Target Calls And Texts

Bet on objective headlines and texts that arouse the interest of those looking for the health sector. This way, you will get people’s attention, and they will be interested in interacting with the content. But we leave a warning here: before you forward messages to those on your transmission list, ask for authorization to send this unsolicited information.

And how to do it? It’s simple: you text and ask if the people on your list are interested in discovering new services, opening hours and price adjustments.

Remember that you cannot invade people’s privacy. So use common sense and only forward messages if you receive authorization.

Chatbots

Another way to use automation for WhatsApp is to invest in chatbots. As you may already know, a chatbot is a solution that works well for WhatsApp. You can link your company or healthcare institution’s account to a bot so that it offers automated and intelligent care.

This is undoubtedly one of the best ways to relieve your customer service team and provide good support to anyone looking for your products or services.

Automatic Replies

And you don’t need to be online 24 hours in the messenger. One of the advantages of automation for WhatsApp is exactly programming responses for those who contact the health sector.

You can program welcome or wait for responses (asking the patient to wait) or those who have passed the service hours. Another WhatsApp feature is that you can schedule your vacations.

For example, the application allows an automatic message informing you or the person responsible for marketing the health sector will be on vacation from day “X” to today “Z”.

Also Read: Outbound Marketing: How Social Networks Can Help