AIOPS: memorize o termo que vai mudar a forma de gerir a área de TI

AIOPS: memorize the term that will change the way you manage the IT area

Posted Leave a commentPosted in Tecnologia e Gestão

We live in an increasingly digital era where business success depends on the technologies used. Performance problems (peaking, cyber attacks, etc.) lead to financial losses and IT operations need to work more efficiently. Digital businesses and technologies are increasing the volume, speed and variety of data. Correlation and manual analysis of data and alerts is increasingly difficult for the IT operations team, with tools in silos spread across mobile devices, the Cloud, and the mainframe. IT operations suffer from excessive noise because there are many events and many processes and it becomes humanly impossible to keep up with everything that goes on. The solution is to achieve a more efficient management with reduced costs and that is why Gartner created the term “AIOPS: Artificial Intelligence for IT Operations”. This new term aims at a change of culture to obtain more agile processes.

But, after all, what is AIOps?

This new form of IT management allows a move away from isolated operations management and provides intelligent insights that promote automation and collaboration to provide continuous improvement. AIOps uses big data, data analysis and machine learning to provide insights and a greater level of automation. Thus IT operations do not depend so much on human interaction to perform the management tasks required by modern infrastructure and software. In this way, human interaction is reduced in routine tasks and human resources are released to other areas of added value. AIOps solutions consume data from various resources and then store and provide access to them, enabling more advanced analysis.

What are the main uses of AIOps?

  • Analysis of the cause of the problems
  • Reduction of algorithms and correlation
  • Preventing problems through smart alerts
  • Intelligent automation
  • Predictive Capacity Identification
  • Agility between teams and datacenter groups

Challenges of AIOPS

This new way of managing information technologies presents numerous challenges. The first of all is resistance to change. There is still some mistrust regarding artificial intelligence and there is a fear that the automation of tasks will put people’s jobs at risk. Another challenge is data disorganization. Most companies do not have the data in an organized way and Artificial Intelligence works entirely based on reading information to perform its function. When it reads wrong information, it creates wrong standards. Lastly, another challenge in this industry is the lack of planning. Some companies implement IA not to be out of the market or because the competitor deployed and had good results. However, each case is a case and if there is no planning on what the company expects of the machine and if there is insufficient and well structured data, the whole investment falls to the ground. It is necessary to do market research and evaluate the pros and cons of technology and its applicability to the business.

 

AIOps adds value to organizations. In the future, it will play a very important role in increasing the efficiency of IT teams and will facilitate the adoption of next-generation complex technologies that traditional solutions are unable to cope with. Digital transformation requires AIOps because with this new concept, IT teams can automatically analyze large volumes of digital data and solve difficult problems faster.

Como é que a sua empresa pode usar o big data para ser mais competitiva?

How can your company use big data to be more competitive?

Posted Leave a commentPosted in Dicas de Gestão

Data, data and more data: this is the life of a manager today. With each passing day, we produce more information and it becomes increasingly difficult to deal with so much data. If companies fail to extract reliable information from the data they generate daily, they lose their purpose. Only with correct and up-to-date information will companies be able to make the right decisions for the future of the business. In this article, we’ll realize how your company can use the big data to be more competitive!

Analyze business in real time for timely insights

Information is growing at a very fast pace, which makes its analysis increasingly difficult. The solution is to analyze the data in real time to get the most out of the information. Products like Multipeers allow you to analyze every second what is going on with the business. In this way, you can make the most of the data to make the best decisions for the business. Allying the large amount of data generated in companies to a real-time analysis allows you to gain essential insights for business success.

Better data collection

The data come from the most diverse channels and through Big Data it is possible to centralize them and group them by affinities. It is possible to be closer to the customer through the collection of data through questionnaires, applications, loyalty cards, among other instruments. The data collected is essential for assertive planning of marketing and communication actions.

Use the large volume of data in HR management

Many companies face the challenge of seeing their teams change multiple times in a short period of time. Without realizing why, they are not able to retain the best talent, which means that there is little stability. By analyzing the data, it is possible to get to know each employee better and help him to feel good in the workplace, thus avoiding his exit. It is important to know the motivations, long-term desires and opinions of the employees, since only in this way the management positions will be able to create a pleasant environment and where each employee feels good. Big Data in human resource management is a key factor in finding the right people for the right jobs. For example, through Big Data you can find out if people who have an interesting work experience are more likely to stay in the company for long periods of time or if the duration of previous experiences impacts on the performance of the current job. Based on these results, the company can focus on the most relevant factors at the time of recruitment.

 

Types of Big Data Analysis That Will Benefit Your Business

Descriptive analysis

This type of Data Analytics answers the question “what is happening now?”. Through the response, companies can analyze data on customer losses, sales for a particular product, and the outcome of launched campaigns. Descriptive analysis allows immediate decisions to be made with a high level of security, since the analysis is based on concrete and current data. The information coming from this type of analysis is usually displayed in graphs and tables, which allows the manager to have an overview of the processes monitored.

Predictive Analysis

Predictive analytics is an advanced form of Data Analytics that aims to answer the question “what will happen?”. It is a type of analysis that makes predictions through probabilities. This analysis is possible thanks to techniques like regression and progression analysis, pattern matching and various types of statistics. This type of Data Analytics is widely used in stock market and investment companies.

Diagnostic analysis

Diagnostic analysis will explain why something happened. This type of analysis will relate all available data and information to find patterns of behavior that may explain the results. It is an important analysis to find problems and above all to avoid repeating them in the future.

Prescriptive analysis

The prescriptive analysis is the analysis of premonition. It answers the question “what could happen if we take this action?”. This type of analysis is very important especially in the sales area. For example, “if we think about giving a 15% discount next month on the company’s lesser-selling product, the likelihood of increased sales is 40%”. The prescriptive analysis raises hypotheses about possible results of actions taken by the company. It is an essential analysis for managers, as it helps them to evaluate the best way to choose a certain strategy to solve a problem.

Controle de dados: da gestão até à contabilidade

Data control: from management to accounting

Posted 1 CommentPosted in Uncategorized

Mastering a company’s data control is a key step to success. Today we live in the age of Big Data, where large amounts of information are processed at all times, helping companies to make more assertive decisions. What many people do not know is that data is different from information. The information only arises when the data are interpreted. Having a large volume of business data only means better performance if your company is able to convert that data into accurate and dynamic information. Thinking about this we will clarify the main doubts about the control of business data and how computerization is changing the world of business to best. Check out:

After all what is data control?

Data control is a set of actions that seek to optimize the reading of different information that affect the development of a company. When we talk about business data, we can address a number of industries, but the Big Data concept is Big.

According to Oracle Brazil website [1], Big Data is:

“[…] a holistic information management strategy that includes and integrates many types of data and data management together with traditional data.”

That is to say, large volumes of data are sorted and analyzed in order to represent concrete information about various sectors, such as customer behavior, market trends, investment possibilities and even pointing to operational failures in several sectors of a company.

Big Data is directly related to so-called “3 Vs”:

  • Volume: As the name says, everything in Big Data is GREAT. We are talking about a huge amount of data, which can be internal or external to the business environment. An example of internal data is the countless reports like buying, selling, profits and many other day to day data of a business. External data can be represented by customer behavior, demands, market changes and all actions that occur outside the company, but which directly affect its progress and profitability.
  • Speed: Big Data is characterized by the tremendous speed at which these new data are created. Every second million data is released in the digital world, which requires companies to quickly read this information. Companies that do not keep up with this speed end up lagging behind.
  • Variety: just as there is a large volume of data, rotating at an ever-increasing speed, there is also a wide variety of data, available in different sectors and channels.

These data are available in an unstructured way, that is, they are fragmented in several models and need to be sorted so that the information makes sense. Each digital medium has a different type of data, requiring a different type of reading. There is data, for example, in social networks, emails, messaging applications, websites or even in your accounting industry.

How does data control influence my business?

Every action of your company, simple as it may seem, represents a die waiting for interpretation. For a long time companies operated almost intuitively, relying only on basic and not always relevant information. This has always led to delays, undue expenses and problems in attracting new customers and creating new products. To solve this problem were created the ERPs, commercial automation software, integrated to several sectors of a company. An evolution of this process was the creation of the accounting integration, which provides the sending of the accounting data of the companies directly to their accountants.

What system should I adopt to perform good data control in my company?

If you want to improve the data control of your company, ManagementClick is one of the most efficient systems in the market. It acts as a powerful ERP and still has accounting integration, in this way the analysis of internal and accounting data of your company operate within a single environment.

Data control is performed efficiently and fully in the cloud, ensuring real-time monitoring and with complete security. The main advantage of the GestãoClick model is that it can count on several benefits in a single system. This represents savings, greater agility and integration.

Guestpost by GestãoClick

Como transformar os dados da sua empresa em informação relevante?

How to transform your company data into relevant information?

Posted Leave a commentPosted in Dicas de Gestão

Companies generate a large amount of data daily. These data will be the inputs needed for effective and conscious decision-making, so it is vital that managers are able to extract the most value from them. It is important for companies to define an integrated information strategy, otherwise the data will not have the required value. In today’s article, we leave you with some tips to transform your company’s data into relevant information!

Data vs. Information

First and foremost, you need to distinguish between data and information. Although they are connected, these concepts don’t have the same meaning. Data is all information and initially does not bring any value to the company, as they have not yet been filtered or interpreted. They are data with potential. Already the information is a set of data that have already been categorized and it is already possible to extract useful information. The important thing in this process is to be able to distinguish what can be used with relevance and what does not have any kind of value.

Get to know the state of your business at all times

The day-to-day of a manager is quite busy and it is humanly impossible to keep up with all the situations that happen in the business. It is very important to have a real-time business monitoring system that allows you to set business alerts so that you are advised whenever any important situation requires immediate intervention. Multipeers is a BAM system that allows you to define business alerts that warn you whenever a situation requires your attention. In this way, you will always be aware of the events of your business and will be able to decide in good time. Many of the decisions are made based on reports a few days late, which makes the company have a reactive and non-proactive action. With Multipeers you can always be ahead of the competition. This is one of the most effective ways to turn data into relevant information!

Create efficient planning

For more complex, and especially long-term, decisions, you need to carefully plan each step to be taken considering all the pros and cons of each situation. A very efficient technique is the 5W2H tool, an acronym of 7 questions, in English, that serve as a basis for developing good strategic planning.

  • What (what will be done?)
  • Why (why will it be done?)
  • Where (where will it be done?)
  • When?
  • Who (who will be made?)
  • How (how will it be done?)
  • How much will it cost?

Use KPIs to evaluate actions

Defining business indicators in a conscious way is fundamental to being able to analyze the business objectively. It is essential that the indicators analyzed show managers the way forward in order to correct errors and apply new strategies. KPIs should be simple so that the entire team is able to understand them. If you get too complicated a KPI, you run the risk of not being able to extract any useful information from your analysis. If employees do not understand the indicator, they can become unmotivated, which harms the company’s performance. A KPI should be analyzed frequently because only with constant monitoring can we understand if we are correctly executing the company’s strategy and generating value with our activity. You should always opt for indicators that can be measured easily and frequently so that you can make day-to-day decisions based on reliable and up-to-date information.

Use dashboards in your day-to-day business

A dashboard visually displays the most important information about the business. In case of using a tool like Multipeers, the information is updated permanently and automatically, so that you have at your disposal the most current information on everything that happens in the company. By using a dashboard, you can easily see if your business goals are being met. Linking KPIs with day-to-day activities is essential if individual and global goals are to be achieved more simply. The dashboard is a very important tool in that it presents the data and organizes it so that the manager can analyze them objectively and so that he can extract as much information as possible.

Big Data Analytics: tudo o que precisa de saber sobre este conceito

Big Data Analytics: Everything you need to know about this concept

Posted 1 CommentPosted in Dicas de Gestão

Big Data is a term increasingly used in companies around the world and is nothing more than the constant search for the improvement of business processes and the acquisition of important insights about market trends and consumer behavior. When a company is able to gain valuable insight into the environment in which it operates, it becomes much easier to make good decisions for the future of the business. In today’s article we talk about Big Data Analytics!

Definition

Big Data is the term that describes the immeasurable volume of data (structured or otherwise) that has a daily business impact. More important than the amount of data, is what companies can effectively do with this data. Big Data is associated with 3 V’s: data volume, data variety, and data speed. Big Data relates to huge amounts of data produced by human interaction with technology, plus the information that is generated by communication between machines. The variety of data relates to the multiple sources of information that companies deal with daily (posts on social networks, financial information, marketing information, among many others). The speed with which data is produced is increasing and companies need to use tools such as Multipeers that allow them to analyze in real time what is going on in the business.

Big Data Types

Structured data vs. unstructured data: the former can be used in their original format and are usually organized in rows and columns, as in an Excel sheet. An example of structured data is the financial information of a company organized in an Excel table. Unstructured data doesn’t follow any rules or have a defined structure and images and publications on social networks are good examples of unstructured data.

Advantages of Big Data Analytics

Analyze the business in real time

Information is growing at a very fast pace, which makes its analysis increasingly difficult. The solution is to analyze the data in real time to get the most out of the information. Products like Multipeers allow you to analyze every second what is going on with the business. In this way, you can make the most of the data to make the best decisions for the business. Allying the large amount of data generated in companies to a real-time analysis allows you to gain essential insights for business success.

Better data collection

The data come from the most diverse channels and through Big Data it is possible to centralize them and group them by affinities. It is possible to be closer to the customer through the collection of data through questionnaires, applications, loyalty cards, among other instruments. The data collected is essential for assertive planning of marketing and communication actions.

Greater effectiveness of the business

More than knowing the market, companies are able, through Big Data, to use the data to change the business and increase the return on investment. Using analytical expertise allows companies to create new business indicators and analyze them more comprehensively and objectively. In this way, they will achieve better levels of income that will be reflected in the success of the business.

Partners

We believe that success lies in excellence, which is reflected in our carefully selected network of Partners. Our Partners are individually trained and certified to implement Multipeers around the globe.

LSG Solutions, USA

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Como analisar os dados da sua empresa de maneira eficiente

How to analyze your business data efficiently

Posted Leave a commentPosted in Dicas de Gestão

Analyzing the data generated by the companies is very important to be able to follow the evolution of the business. Only with detailed, careful and real-time analysis companies can succeed and be able to keep up with the competition. The information generated by companies is increasing, so the managers find some difficulties in analyzing the data, due to the immense amount of information that they have at their disposal. In today’s article, we leave you important tips for analyzing your business data efficiently!

Use the data to trace customer profiles

It is mandatory to know the profile of the client, their needs, tastes and expectations. We can draw this profile if we are attentive to the signs that he/she leaves in the different channels of communication with the company. In today’s digital world, we all leave clues and everything that the client does on the Internet can be relevant information for the construction of his/her profile, so that the company can offer a personalized service. Your behavior creates statistics, which in turn create consumer behaviors. Through data analysis, we can improve our service for that customer by increasing their connection with the brand.

Make frequent changes to simplify processes

A process is something that the company does on an ongoing basis. As it is something that is repeated over time, it is essential to create norms and routines to improve each process. Automating everything that is possible, eliminating what is unnecessary and standardizing what is repetitive are some of the possible ways to improve business processes.

Take the definition of KPIs very seriously

Companies produce thousands of data in a short time and it becomes impossible to analyze all available indicators. KPIs – key performance indicators – are the indicators of business success and are those indicators that demonstrate to us whether the company is going the right way. It is essential that managers define the most relevant indicators so as to always know if the expected results are being achieved. It is humanly impossible to evaluate all the indicators; it is fundamental that the manager focuses on those who show us exactly what the state of the business is.

Create easy-to-read reports

Data analysis should be done on a constant basis so that decisions are made on the basis of current information. Many companies make weekly reports and when they find the information this already has a few days. Ideally, you should create short, relevant, easy-to-read reports. Multipeers allows you to create simple reports, in which all users perceive information and analysis outputs. This change will positively impact the marketing actions, which will be much more controlled and effective.

Analyzing the data is essential to meet the constant challenges of today’s competitive business world. It is no longer enough to analyze the events after these have happened: it is essential to always be aware of what is happening at each moment. Business monitoring systems such as Multipeers are essential tools in today’s business world because they allow us to analyze the second thing that is happening in the company, allowing you to act immediately without having serious consequences.

 

A importância da convergência tecnológica para as empresas

The importance of technological convergence for companies

Posted Leave a commentPosted in Dicas de Gestão

In an increasingly digital world, technological advances have a direct impact on the way companies do business, and companies need to act to keep up with the latest information technology. Technological convergence is increasingly important to unify processes, tools, methods and diverse sectors. In today’s article, we talk about the importance of technological convergence for companies!

What is technological convergence?

Technological convergence is an increasing trend in the economic environment. This concept represents the union of the different services that share the same structure among themselves. The goal is to meet customer needs and anticipate trends. A good example that everyone uses is the smartphone. In one device you can use camera, electronic calendar, alarm clock, television, GPS, internet, among many other things. In the business world, this convergence translates into technological tools that give the possibility to gather on a platform with all the communication services, such as telephones, emails, support, production processes and logistics, among others. This means that companies can use a tool to simplify the use of IT solutions, offer employees more flexibility and reduce the cost of operations and automate tasks. Both internal and external teams can work from anywhere because of the mobility that cloud systems provide. Technology convergence proves to be an important ally to achieve business objectives.

Main innovations that integrate technological convergence

  • Big Data: in this field, business monitoring software such as Multipeers play a very important role, since in a single dashboard manager can access all company information from the most diverse data sources.

  • Artificial Intelligence: artificial intelligence helps companies prevent fraud, analyze customer behavior, and is very important to analyze and monitor the requirements of the target audience.

  • Business Intelligence: Business intelligence is a very powerful tool and is increasingly used by all business segments as it provides integration and reading of various data sources. Business intelligence also helps identify trends and market variations, which is essential to maintaining competitiveness.

  • Internet of Things: this concept interconnects equipment, business and people, allowing the crossing of the data in a matter of seconds. All sectors can take advantage and technological convergence to the business from the internet of things.

  • Image recognition: Identifying citizens through facial recognition is not new, but this recognition is nowadays held in many physical stores. Thus, it is possible to check what articles the person liked the most, to know if they tried clothes, to know their behavior in the store, among other things.

  • Voice services: a number of Google services, for example, can be activated through voice commands, doing surveys, and helping the consumer decide. It is a growing technology and professionals in this area work daily to improve its operation.

Advantages of technological convergence for companies

The main advantages of using this trend for companies are: greater capacity for innovation, greater control over all company processes, increased productivity, increased security and better treatment and storage of data.

Saiba o que é a gestão baseada em dados e porque deve começar a utilizá-la hoje mesmo

What is data management and why you should start using it today?

Posted Leave a commentPosted in Dicas de Gestão

Data-driven management: everything you need to know

The terms Big Data and Analytics have brought a new challenge for managers: using the data to support their decisions. If decisions were made in the past based on feelings and a forecasting perspective, today they need to be taken based on true and up-to-date data, because only in this way companies can prosper in a market as competitive as the one we have at the moment. In today’s article we will talk about data-based management and realize why your company should start using it today!

What is data-based management?

The speedy pace of business today forces managers to make strategic decisions at all times and with great urgency. Decisions define the success or failure of companies and therefore a data-based management is essential to reduce risk in the decision-making process and contribute to the business success.

Data-driven management is one that is guided by the large amount of information circulating throughout the organization every day. The data comes from internal and external sources, such as customer profiles, market analysis, competition analysis, quotes, among many other information. Managing on the basis of concrete data is a very important step in deciding correctly.

Why should I manage based on the data?

First of all, managing on the basis of data is essential to making the right decisions. Data-driven management must rely on business monitoring solutions, such as Multipeers, because this way you will always have the most up-to-date information about your company. A delay in decision making can mean the loss of business, especially in the current market where everything changes so quickly. Information is the most important asset in today’s businesses and needs to be managed in the best way possible.

Besides being important to have updated data to decide, managing based on real information allows you to set concrete performance indicators to evaluate the performance of your company. Knowing the actual performance level of an organization allows you to discover failures and improvement points, maximizing the company’s performance to the fullest.

Data-driven management also helps companies to reduce operational costs by being able to more easily identify the company’s most-spending sectors. Based on the information gathered, managers will be able to change processes to reduce costs.

Finally, real-time data-based management allows you to identify changes and failures at the exact moment they occur, and it is possible for the manager to act immediately.

Business information is one of the concerns of current managers because there is already the awareness that knowing is power and only with a concrete knowledge about the operations of the company and the market is that you can beat the competition.

Download our e-book about business monitoring and meeting objectives and learn how real-time data management can help your business grow!

Saiba como aproveitar todas as potencialidades do Big Data

Find how to take full advantage of Big Data

Posted Leave a commentPosted in Dicas de Gestão

Big Data is a term that has been in vogue in recent months. Big Data is the term that describes the immeasurable volume of data (structured or not structured) that have a daily business impact. More important than the amount of data, is what companies can effectively do with this data. According to IBM, by December of this year there will be three times more devices connected to the internet than people in the world. This information is more than enough proof of the amount of data that is generated every minute, which is a challenge for companies. What to do with so much information? How to take advantage of the data generated daily? In this article we will show you how to take full advantage of the potential of Big Data.

Analyze the business in real time

Information is growing at a very fast pace, which makes its analysis increasingly difficult. The solution is to analyze the data in real time to get the most out of the information. Products like Multipeers allow you to analyze every second what is going on with the business. In this way, you can make the most of the data to make the best decisions for the business. Allying the large amount of data generated in companies to a real-time analysis allows you to gain essential insights for business success.

Better data collection

The data come from the most diverse channels and through Big Data it is possible to centralize them and group them by affinities. It is possible to be closer to the customer through the collection of data through questionnaires, applications, loyalty cards, among other instruments. The data collected is essential for assertive planning of marketing and communication actions.

Greater effectiveness of the business

More than knowing the market, companies are able, through Big Data, to use the data to change the business and increase the return on investment. Using analytical expertise allows companies to create new business indicators and analyze them more comprehensively and objectively. In this way, they will achieve better levels of income that will be reflected in the success of the business.

Have the right tools

It is imperative that companies have the right tools to deal with the vast amount of data they are creating every day. Datapeers, for example, is an innovative solution that helps companies meet legal requirements and improve the quality of development processes, ensuring the protection and confidentiality of data. The new EU data protection regulation reinforces the importance of information and the increasing need to protect it.