Digitalization and automation

Automation and Digitalization: Key Differences for Business Success

by Business

Understand the distinctions between automation and digitalization and learn how implementing them strategically can benefit your business. Unlock the power of digital transformation today.

Both automation and digitalization are frequently used in corporate contexts to refer to goals in business plans and tasks. However, understanding their differences is crucial for developing a clear corporate strategy and action plan. Discover how automation and digitalization impact production and why digital transformation is essential for sustainable success.

What sets automation apart from digitalization?

Automation involves programming repetitive processes for execution without human intervention, such as industrial production lines. It offers advantages like reducing employee involvement in mundane tasks and enabling them to focus on more strategic endeavors.

Digitalization, on the other hand, goes beyond automation. It centralizes and enhances processes, from administrative to production, by leveraging digital technologies. While automated processes can operate independently, a digitally transformed company optimizes operations by adjusting and improving processes in a connected digital environment.

Unleashing the benefits of digitalization

Digitalization offers numerous advantages that empower businesses to thrive in today’s digital landscape:

  1. Time Reduction: Embracing digital processes enhances flexibility and speed compared to analog approaches. Remote monitoring and robotic systems in production plants are prime examples.
  2. Motivated Workforce: Liberating employees from repetitive tasks fosters motivation, enabling them to focus on analytical and strategic activities that yield greater fulfillment.
  3. Enhanced Efficiency: Digitalization leverages the power of artificial intelligence, including machine learning, to allocate resources precisely, resulting in improved efficiency and productivity.
  4. Greater Flexibility: Digital transformation enables businesses to adapt swiftly to changing market dynamics, expanding from physical sales points to thriving online channels.

Unlock the power of digitalization for your business

If your company has yet to embrace digitalization, now is the time to seize its benefits. Contact us today and embark on a transformation journey that will elevate your business to new heights.

    IIOT helps you to improve quality

    IIOT the key to improving the quality of your products

    by Business

    Industry 4.0, IIOT, or the Industrial Internet of Things (IIOT), is a crucial link in the evolution of production chains and the functioning of companies. It is because it helps close the information gap between what happens in the machines, production plants, and other areas of the company. When the industrial environment integrates into the digital business ecosystem creates the ideal scenario for synergies that lead the company to achieve new milestones of efficiency and competitiveness.


    And how does IIOT work?


    Industry 4.0 consists of connecting the machines, sensors, PLCs, and other devices in the production plant so that the data is stored in a data warehouse and analyzed for continuous improvement. Similarly, depending on the needs of each case, they can be connected so that the data streams in real-time and alerts prompt when the operation or performance is outside the desired parameters. These alerts help to take timely corrective actions, which reduce the total cost of managing production failures or errors.


    In this aspect, Industry 4.0 helps companies to detect on time which part of the production process is failing. With more detailed and precise detection, you can fix errors affecting production efficiency and quality on time. For example, you can monitor indicators like temperature and humidity at different workstations and their variations. This way, it is possible to know precisely whether the production conditions are adequate to ensure the best quality.

    The benefits do not end with general monitoring because it is also possible to relate information derived from machines with other information systems, for example, an ERP, to know the exact conditions for a specific customer’s order. It improves the company’s responsiveness in production and customer service, as it delivers the necessary information to the areas responsible for making management of product failures.


    What impact does predictive maintenance enabled by Industry 4.0 have?


    One of the impacts of Industry 4.0 is the reduction of maintenance costs. The main reason is that it reduces the non-availability times generated by taking the machines to the limit of failure, which is more typical of traditional corrective maintenance models.


    According to Deloitte, predictive maintenance:
    • Reduces the time required for planning by 10% to 50%
    • Increases machine runtime and availability by 10% to 20%
    • Reduces total maintenance costs by 5% to 10%


    Guarantee quality products with IIOT


    With the transformation towards Industry 4.0, companies improve their competitiveness for many reasons 1 of them is that they can guarantee that their production processes comply with the highest quality standards from beginning to end. It makes more sense when they understand that ensuring that machines are in optimal working condition contributes to delivering quality products by avoiding production errors caused by wear and tear. Especially those that may go unnoticed by other maintenance programs and are only evidenced when there are failures in the products delivered to customers.


    Depending on the type of product, it is even possible to collect information on the operation of products already sold, which helps to offer a better after-sales service. This is useful when such products require maintenance or spare parts because they can be provided promptly, maximizing the life of the products and reducing non-availability times. This helps companies differentiate themselves from their competitors and improve their customers’ satisfaction.


    What do companies need to move towards Industry 4.0?


    The first step is to ensure that all the elements of the production plant that need to be connected are indeed connected. This includes not only the machines but also additional sensors that can report valuable information such as temperature and ambient humidity. Once this is done, it is important to define where the collected information will be stored and how it will be analyzed.


    This final choice can make all the difference in how you can leverage the collected data. Tools such as DataGate IIOT can help you centrally manage all the information flows from your business and production environment for analysis using artificial intelligence. If you want a free demo of what DataGate IIOT can do for your company, contact us, and we will help you transform your business.

      Benefits of sensorization for your factory

      Benefits of sensorization for your factory

      by Business

      The number of sensors collecting information about our behavior and surroundings is increasing in the current context. They range from the gyroscope in our mobile phones, which helps to display images in the correct orientation, to motion sensors that turn on lights in some spaces. Industrial spaces are not the exception; more and more companies are adding sensors to their production processes. In this article, you will learn some benefits of sensorization for your factory.

      Real-time comprehensive overview
      You can access information about your production status as specific as room or machine temperature, which helps you to make better decisions on time. Enabling communication between machines and the enterprise´s digital ecosystem makes it easier to access reliable information.

      Data-driven decision making
      With data collected and stored, business leaders can analyze the historical records looking trends, and create work plans based on databased previsions. It helps increase the chances of success and improves efficiency reducing cost derivated from mistakes.

      Preventive maintenance
      Moving from corrective to preventive maintenance is a milestone for any company. But how does it work? It consists of scheduling maintenance when it makes more sense for the company. You can analyze the wear of spare parts, expenses, compliance requirements, etc. Collect all that data directly from machines and analyze it to determine the best time to do maintenance. This way, you reduce the impact of production stops.

      Quality assurance
      Another benefit of sensorization is that you can monitor the performance of machines and environmental conditions, such as humidity and temperature, to check they meet quality requirements. It enables a more reliable quality assurance process because the information comes directly from the machines. This way, you can tell apart the causes of any abnormality in final products.

      Compliance friendly
      Monitoring the performance of machines and environmental conditions is crucial to guarantee a compliance-friendly operation at your factory. By doing this, you can report confidently to authorities and control organisms.

      Safer workplaces
      Providing a safe workplace is a challenge for most companies, especially for those with employees working on high-risk or middle-risk tasks. In this matter, sensorization can help them to know if workplace conditions are safe for employees. Besides cutting down the number of accidents, it enables companies to be more efficient.

      Product performance and after-sales services
      Collect information from sensors installed in your products even after sales. This way, you will offer more customized after-sales service and learn how to improve your product performance.

      How to get started? Where centralize all data collected?
      With the perks of sensorization becoming more popular, more companies are interested in learning how to get started.
      Here are some pieces of advice:
      Determine how many sensors you need. You can define criteria based on what data is appropriate for your business and production model. With that task completed, move forward, and determine how to process data and where to store it.
      In this sense, we recommend DataGate, a Data Hub + AI, that allows you to collect and store all the data generated in the machines with multiple benefits like process simplification and the suppression of the unavailability window. If you want to learn more about this tool, contact us, and we will help you make the intelligent sensorization of your company a reality.

        How to improve your project management with BI

        How to improve your project management with Business Intelligence

        by Business

        Project management carries out activities within the time and budget assigned. Different methodologies might help project managers to achieve that goal. However, they need to consider making informed decisions as an essential skill. They can enhance this skill by choosing the proper business intelligence tool and increasing the success rate. Some of the advantages of carrying out projects supported by business intelligence are. 

        Centralization of information 

        Access to information is the first step to making decisions based on data. When working with business intelligence tools, you can inquire in a single place about every piece of information related to your project, no matter where it is stored. It helps you to save time and gives you a 360 vision of data, something crucial to make the right decision. It also provides accurate data, free of duplications and with high quality. 

        Resource optimization

        No matter the project´s nature, optimization of resources is way easier if you can track every activity at the level of detail you need. Hierarchical visualization of data can help you find the origin of low performance or efficiency reduction. If, for instance, you see a KPI like total sales drop, you can go through the primary metrics to check with the assistance of graphic representations to identify the cause. In the same way, it can help you to tell the reasons for your success apart and create powerful insights for future projects. All of this assists you in building a tailored methodology for your company or where you develop projects. 

        Risk mitigation

        Besides optimization, identification and mitigation of risks enhance the success rate of your projects. Thanks to graphic representations, your team can identify risks like the expenses affecting your budget plan or additional executed hours impacting your general schedule. This way, you can focus your actions on aspects with a more meaningful impact. 

        Insights for future projects

        Insights based on predictive analytics can help you to do better planning of the projects of your company. Thanks to the identification of trends and characteristics of every project, you can create successful plans. 

        This higher success rate is based on the greater accuracy that predictive analytics can achieve with larger volumes of data. To know more advantages of predictive analytics, read our article: Challenges and opportunities of working with large volumes of data.

        Enjoy these and other advantages for managing your projects with a world-class business intelligence tool, BI4Web. Contact us and start your path toward intelligent project management.

          Challenges and opportunities when working with high volumes of data

          Challenges and opportunities when working with a high volume of data

          by Business

          The increase in the volume of data companies are working with is a long-term trend. That growth happens at a different speed in every industry, but none is safe from the exponential growth of the information they use. This trend is two faces of the same coin. On the first side are challenges, and on the other side are opportunities. We will lead you through the main challenges and the opportunities that might result from carrying out challenges properly.


          Challenge: Is it necessary to back up every piece of information?

          The quick answer is no. But the only way to find the right path is to take time to create a data strategy aligned with your business plan. This strategy must contain what the company needs to operate in the present and future. Well-defined criteria are crucial in this matter.

          Back up unnecessary data will make company information structure and increase all derivated costs. Additionally, because it is irrelevant data, it will not add up, becoming impossible to obtain any benefit to cover the derivated costs. If, on the other hand, you do not back up essential data, the company perspective will be biased, and decisions will lack trust.

          Opportunity
          Saving the appropriate data nurtures a work environment advantageous for data use. Counting with the proper data sets enhances the company´s vision and improves competitiveness by making it easier to access data. It also helps predictive analytics accuracy because data volume is a crucial factor. It enhances the creation of business plans with a higher success rate.


          Challenge: What is the best option for data storage?
          When choosing data storage, you should evaluate factors like storage size, growth speed, scalability, security, and availability.
          Every company uses as many data sources as they need and tend to be different. It is another aspect to keep in mind when making a decision. The core reason is that it should guarantee seamless integration within your whole digital ecosystem. Ignoring this point can result in a disconnected data source or the necessity of acquiring new connectors, which implies new costs.


          Opportunity
          A data storage option that meets changing business needs allows for keeping the company competitive by supporting data availability. Choosing a convenient data storage option helps to keep optimal answer times and avoid slowing or stopping processes related to data in the company.


          Challenge: What updating data model is the most appropriate?

          It is a question you need to answer almost at the same time when choosing your data storage. In this matter, you need to define how frequently you will run updates on the data warehouse. Also, decide if data updating will be active or passive. In other words, updating will happen every time there is a request or not. In the last case, it is essential to schedule it according to the data volume, type, and dynamics of the business itself. The principal criterion for making this decision should be the company. For example, if your team needs information from the same day to provide attention to your clients, you should go for passive updating. That is, it is updated every time a query is made. In this way, the data will correspond to the date and time of the consultation and not, for example, the previous day.
          If, on the other hand, there is no need for access to the latest version of the data, an active update can be set, for example, once a day. It optimizes storage and upgrades resources. This option is helpful when working with high volumes of data, for example, national-wide sales reports of supermarkets chain.


          Opportunity
          The right choice will help to use resources wisely and not hinder business operations. It allows you to keep your costs low, and your business will perform seamlessly.


          Challenge: How much invest in data management?
          The core of this challenge lies in finding the criterion that fits better. Commonly, have to answer for tool selection, license acquisition, etc. So we share a crucial touchstone to transform this challenge into an opportunity.


          Opportunity
          The exact investment will vary from company to company, but the main criteria should base on a vision that points to an operation that contributes to a healthy ROI (return on investment). The value that current society gives data grows exponentially, which is why proper management will positively impact the P&L (Profit and Loss) balance. This value lies in its contribution to a more accurate decision-making process. Based on business-specific information, which reduces the impact of human biases. Having the tools to manage the data is essential to materialize this use.


          We recommend two tools that help you bring the opportunities presented to your company. Leave data silos behind and centralize your entire digital ecosystem in a data hub powered by artificial intelligence, such as DataGate. Plus, get innovative insight into data with the business intelligence tool BI4Web. If you want to know more about these tools, contact us. We will help you start your path toward profitable management of your data.

            Marketing strategy

            Take your marketing strategy to the next level with BI4Web

            by Business

            Marketing strategy success consists of delivering the right message to the right people at the right time. That is why companies invest time and money in making the decisions that lead them to achieve that goal. However, for many, it is just collecting data, but it is not enough; it is crucial to analyze it to identify insights that empower your decisions.
            A marketing strategy based on business intelligence is crucial to meet business goals and keeping competitiveness in the market. It helps you to focus your tactics in actions to address the issues with a more relevant impact on your marketing strategy. Even though there are different paths companies might follow to succeed, we suggest following these steps to start your journey.

            1. Define SMART goals. Follow the guidelines of agile methodologies and make sure your objectives are specific, measurable, assignable, realistic, and time-bound. That is the most recommended way to keep your marketing strategy based on business intelligence on track from the very beginning.
            2. Collect your data. Identify those digital assets such as social media, websites, apps, e-commerce, etc. Define if you centralize data in a warehouse or your BI solution queries directly to the data sources.
            3. Time to put our hands to work. Connect all the data sources identified in the previous step to the tool or solution you selected. Organize the data and make sure your choice is easy to use.
            4. Analyze the data with a business intelligence tool and focus on insights aligned with your marketing goals.
            5. Empower all business users in your team with access to compelling graphics.
            6. Use your data discoveries and insights to sharpen your marketing tactics and strategy.
              Like other business processes, marketing works better if you refine it at every step with valuable data and insights.
              Another interesting approach is to think of the different fields in your marketing strategy that benefited from business intelligence.

            Understand better your audience


            Know more about your audience characteristics across your digital ecosystems. You can bring the data from all your sources and create a more accurate audience profile. With it, you can transform data into actions, focusing on meeting your well-profiled audience needs. Here are some examples:

            1. Choose the channels where your audience is more likely to be and convert.
            2. Create messages aligned with your audience’s interests. Tell them what they need to read at every part of the marketing funnel and get better results.
            3. Increase your audience with look-alike segmentations in your acquisition channels. Help you to improve your CTR in your news clients’ acquisition campaigns.

            Optimize conversions


            After learning more about your audience, it is essential to find out what works better to improve KPIs like CTR, average purchase, etc. Track the behavior of your visitors/buyers on your website or e-commerce with Google Analytics and visualize the data in your chosen BI solution, along with other relevant information from data sources like your CRM or ERP.
            Business Intelligence solutions can show all the data you need to have an integral view of your business. Knowing the usual journey of your visitors/buyers can give you light and help you how to draw more clients to the bottom of your marketing funnel.
            Besides the benefits mentioned above, BI4Web has a unique feature to zoom in on data from a global perspective to a detailed view. With it, you can understand the behavior of your clients by finding casualties.

            Contact us to help you leverage your marketing with BI4Web.

              Key for decision making for business

              Keys for decision making for business

              by Business

              No matter what kind of company we are talking about, decision-making is a crucial factor in business operations and growth. In this post, we will go through some of the most popular models used by decision-makers in companies: the seven steps for the decision-making process. 

              In every step, we will be exploring what you should take into account and how technology can help you to enhance the value you can get from a tailored decision-making process.  

              1. Identify the decision you need to make 

              It is essential to have a clear view of the decision since the success of the other steps depends on it. The proper definition of the question or issue eases the process by creating a more rigorous approach.  

              How can Business Intelligence help you?   

              Business intelligence solutions can help you to identify trends, trends change, and patterns in data. It makes it easier for you to tell the data you need to focus on apart. Something helpful in this matter is the hierarchical analysis offered by tools like BI4Web because it allows going as deep into data as you need to annotate the data analysis. 

              1. Gather relevant information  

              Once the decision is defined, you must gather as much relevant information as you need. Select enough information to avoid unguided choices but not too much that you end up overwhelmed. You can ease this task by using Business intelligence solutions to access information with a few clicks. This way, you can visualize relevant data without requesting data from every area in the organization. Besides saving time, you will get high-quality data since integrations used by business intelligence solutions suppress typical errors from human data manipulation. 

              Does business intelligence ease this task?   

              Yes, it does. In a well-carried business intelligence project, the solution is connected to every data source in the company. That is why in a single solution like BI4Web, your can access all data you need to amplify your vision of the issue.    

              Another business intelligence advantage is helping you to find out relations among data so you can establish causalities to guide your decisions.   

              1. Identify all alternatives  

              It is uncommon to have only one way to solve issues. That is why having an open mind is essential to avoid staying stuck on the first idea coming up.  

              Establish actual alternatives with business intelligence 

              Going through all available alternatives can be overwhelming, but it does not have to be. Choose the proper graphic representation from your business intelligence solution and enhance your skills to identify options that otherwise would be unnoticed because of the high amounts of data. 

              1. Weigh the evidence 

              Start with the list created in the previous point. Rate the ups and downs of every decision. Consider consulting internal and external sources to build up a more accurate scenario.  

              Go beyond assumptions with Business Intelligence 

              Explore the options data history that you selected and evaluate carefully what the data has to tell you. This way, you will avoid basing your decision on assumptions. 

              1. Choose among many alternatives  

              After evaluating alternatives, choose what suits better the situation of your company. You can use criteria as alignment with the policy of the company and your team’s mindset. Likewise, the impact they might produce inside and outside the organization.  

              What can help you with this choice?   

              You can use tools such as the decision matrix, which help you more objectively qualify each alternative by scoring each one. You obtain the score by giving points to the characteristics of every option based on the weight they have in relevance. 

              1. Take action 

              Put the decision you made into action. Prepare a work plan and assign tasks to your work team. It is crucial decisions become actions before the conditions change because it can affect the results. 

              Any recommendations before putting the decision in motion? 

              You must establish the KPIs that will help you evaluate the performance of the selected alternative. In this case, a Business Intelligence solution is of great help since it allows monitoring in real time and making the necessary adjustments. 

              1. Review your decision 

              Define a prudent time to review the decision made. Evaluate whether the effects of the decision have been as expected. When the result is what you expected, note the factors that made it possible. If not, write the lessons learned so you can use that knowledge in future decisions. 

              Review is an ally of continuous improvement. 

              Decision-making is a continuous task. That is why, after the established time, you must review it in light of the established KPIs to generate the necessary knowledge for future company decisions. 

              If you want to start making better decisions, contact us, and we will help you to begin your journey with BI4web. 

                Entrada blog Inteligencia de negocios y gobierno de datos como aliados del crecimiento empresarial (1)

                Data Governance and business intelligence as allies for business growth

                by Business

                Every company establishes business growth as a goal since its foundation. However, not all of them grow at the same pace or use the same strategies.  

                We could mention many experts who have formulated paradigms related to business growth as series production and specialization of production chains. Likewise, how they paved the way to the present when data governance and business intelligence are crucial pillars to reach consistent business growth in any company. 

                What is the importance of business intelligence and data governance? One of the most relevant aspects is how they help to answer crucial business questions to make better decisions.   

                By its side, data governance refers to all efforts, policies, and actions intended to homogenize data management in business ecosystems. The main advantages it offers are data accessibility, availability, and quality. So it is much easier to have a complete view of what is happening in the company, avoiding blind or partially informed decisions. 

                Along with employee commitment, a mature organizational culture, and the proper technology, data governance improves business competitiveness. Overall by enabling companies to have faster answering time in every process with a central role for data.   

                The business intelligence solutions by its side provide added value to data the company has prepared to be accessible, available, and of quality. This point consists of giving points of view to decision-makers that help them to enrich their criteria when making decisions. They are good when high volumes of data overpass human capacity to check what information is relevant, so it becomes a difficult task. Data representations offer several points of view. If you want to know the recommended use for each one, download our Guide: Visual Vocabulary. Checking the same data set from the perspective of different representations can help you to detect patterns, trends, or changes. Otherwise, they would be unaware. With this in mind, data experts know how to choose the representation that better fits their intentions of viewing issues or highlighting aspects.  

                To summarize, we can say that the ability to organize the information offered by data governance and the revealing points of view by business intelligence constitute a duo that enhances the ability to make business decisions that mark the growth path for the company. This improvement means the decision-making process can be up to 5 times faster. 

                And how is this growth consolidated? 

                The duo we mentioned enables companies to see opportunities for improvement inside and outside. For example, you can improve your plant production times by analyzing the information collected from the machines and making improvements as moving from corrective to preventive maintenance. It is also good to analyze an organization´s processes, for example, those related to human resources. 

                As for the exterior, it can significantly improve the relationship with clients by providing a comprehensive view of their purchasing behavior and anticipating the risk of abandonment. The last point is vital to carry out retention actions focused on the right segments and with a winning value proposition. It is a crucial front of action since, in general, it is more expensive to acquire a new client than to maintain it. 

                In a context where more and more companies are advancing on their path toward digital transformation, having this duo goes from being optional to becoming the way forward. Therefore, those who do not update their decision-making models with the help of data governance and business intelligence will be at a disadvantage compared to those competitors who do. 

                Know BI4Web, our Business Intelligence solution that will enhance decision-making in your company with the most extensive catalog of native representations on the market. Contact us and discover how we can help your company´s growth. 

                  BI4Web V.22, speed and creativity, enhancing the power of your data

                  by Business

                  Users of the new version of BI4Web will experience a real revolution. The update developed by RCM Software will be a watershed in the evolution of BI. Users will have functionalities and more benefits that will contribute to efficiency in their daily tasks. Likewise, it provides an infinite range of possibilities that enriches the experience of the graphical representation of data.

                  BI4Web V.22 enhances the freedom to build creative solutions that contribute to more efficiently covering the growing needs of business intelligence in companies. Below you will find a summary of the main benefits of the new version.

                  Experience the speed without borders.

                  • Up to 200% more speed in data collection.
                  • Search, filter, select and access data without waiting.
                  • Autonomously manages data visualization.
                  • Access data without intermediate consolidation processes.

                  View, customize, and share.

                  • Centralize in a single BI tool all the information of your digital ecosystem with 100% compatibility
                  • Customize and save your dashboards.
                  • Securely share your dashboards and allow your colleagues to interact with the information.

                  Live a renewed experience.

                  • Enjoy a BI in a renewed, fresh and modern environment.
                  • Easily choose the graphic representation you need.
                  • Easy analysis, thanks to hierarchical navigation.

                  Use superior features

                  • Edit graphical representations live.
                  • Access to the most extensive library of native BI graphics on the market.
                  • Create tooltips with everything you need, from multimedia resources to JavaScript-based features.

                  Improve your performance

                  • Use the same dashboard to represent information from different companies, languages​​, and several users.
                  • Solve your doubts faster with the help integrated into the graphic designers.
                  • Connects to most existing data sources.

                  Manage smartly

                  • Link users directly to your Active Directory or LDAP server.
                  • Create access policies for users or groups of users.
                  • Grants customization permissions per user.

                  Know all these advantages in our webinar: BI4Web V.22, the BI revolution.

                  Sign up

                    Que es business intelligence blog

                    What is Business Intelligence?

                    by Business

                    Business Intelligence is a process enhanced by technology that helps companies improve the way they make decisions; it empowers companies to find answers to business questions with the data they already have in their digital ecosystem. 

                    It contributes to decisions based on data and not on subjective elements like the personal experience of decision-making leaders.

                    Keeping in mind this is a process and requires strategy, it is crucial to reach goals. What does this process consist? How many stages does it have? The thorough process goes from data source identification and treatment definition to data consumption of final users. It has these stages:

                    Data collection

                    • Data sources identification, both internal and external, will work as data providers for the business intelligence process.
                    • Definition of rules about how frequently data will sync and where.
                    • Real-time vs historical data: Decide whether to work with real-time data, historical data, or both. 

                    Data preparation

                    Once data is collected, it should be prepared to meet quality and availability criteria. This step includes data integration, data consolidation, and data cleansing. 

                    Creation of queries: Define what questions your business needs to answer.

                    Dashboards and reports creation: Select what graphic representations are better to represent data findings. If you want to know more about this, we recommend reading: Tips to create a successful dashboard. 

                    At this point, you must define roles for users according to their specific needs for data consumption. 

                    Thinking about it, you will define roles for internal and external users, according to their data consumption needs.

                    What kind of analysis can be performed by BI tools?

                    Essentially, there are three kinds of analysis. 

                    1. Descriptive analysis. It helps to answer questions like Why did something happen?, Is it going to happen again? This analysis is useful to visualize data on several levels to discover why something happened. 
                    2. Predictive analysis. It models future scenarios and the results we might expect from them. It is good to make decisions related to goal achievement, for example, how a new line of products or a new business division, will impact overall sales.    
                    3. Prescriptive analysis: It recommends business actions based on data so the decision makers reach their goals.

                    Business Intelligence for everyone 

                    In the beginning, business intelligence tools were for C-level executives. But it changed, and now they have evolved in terms of concepts and technologies. This evolution has nurtured an open approach that empowers all business users to make their decisions based on data. This way, not only strategic decisions are made with BI, but also operative ones. 

                    That is why once everything from the previous point is ready, users will make better decisions. It does not matter if it is about deciding the right time to release a product in the market or when to contact a lead that is more likely to purchase. 

                    BI is still evolving, allowing more users to become part of the data culture in their workplaces. It helps improving decisions making process, guarantees better decisions, more efficiency, and enhances business opportunities.

                    What are the benefits of modern business intelligence?

                    Besides improving the decision-making process in the Company, it offers these advantages. 

                    1. It helps to identify the reasons behind results, especially when data volume makes it impossible for a human being to identify such causes. 
                    2. It increases organizational efficiency: It delivers integral access to information to business leaders, delivering an overview of their business areas and the Company, making it easy for them to identify synergy opportunities inside the organization. 
                    3. It allows saving time in data consulting. Asking for data from the whole digital ecosystem, cuts off time invested in tasks related to data consultation and delivers a complete overview of what is happening in the organization.
                    4. Accessing relevant information in real-time. Useful when decisions require current data and not historical to be made
                    5. Faster data consumption. Graphic representation options allow efficient data consumption by synthesizing information in a short space and highlighting what matters. 

                    If you are looking for all benefits of business intelligence for your Company, then we recommend you to know BI4Web. It is a 100% web tool that allows access to all business intelligence benefits from any device, any where, and anytime.