Is it worth investing in Business Intelligence?
Living in the age of information overload, we all look for simple and quick answers to our questions. We are aware that relying on partial or outdated information will not lead us to business success. The solutions to our problems are hidden in the data and in order to make the right decisions we need to get to them in a timely manner and skillfully combine them to get reliable insights. Sounds like a huge challenge? Yes, but Business Intelligence technologies allow you to turn tedious analytical processes into modern reporting solutions. Vizyble offers a wide spectrum of Business Intelligence services.
Business Intelligence Technology Features
Different tools and technologies form a business intelligence system which brings an acceleration to an organization that can be compared to the changes brought to the world by access to electricity. A typical BI architecture consists of three functional and technological layers:
I. Integration and storage layer
- ETL tools
- Data warehouses
- Data lakes
- Data catalog
II. Analytical processing layer
- Basic reporting tools
- Data visualization tools
- Advanced analytical tools of data mining type
- Analytical applications
III. Results sharing layer
- File servers
- Information portals
- Automatic information distribution tools
A properly designed BI environment should have the following features.
Advanced data mining enables taking action in seconds. Properly implemented BI technologies allow to answer all questions in no time.
Find correlations between specific phenomena through easy access to multiple data sources simultaneously.
Selected business analytics systems offer what is called a shared collaboration space to share information and insights.
Accessibility for everyone. Business Intelligence at its core allows to draw conclusions and make business decisions without IT expertise.
Present data in a clear and effective manner.
At Vizyble, we deal with data architecture which is the foundation of Business Intelligence in any organization. We help to design and optimize existing data architectures, focusing on data warehouse management. We are proponents of cloud technologies, therefore we encourage our clients to migrate their analytical solutions to such environments as Snowflake, Google BigQuery, AWS Redshift or Microsoft Azure. This gives, above all, unprecedented in legacy systems, performance, scalability at a reasonable cost. On our pages you will find out how we support companies in this area.
Data architecture is the foundation of any organization's data management strategy. Without it, Business Intelligence will be a collection of uncoordinated activities that will consequently fail to deliver the expected return on investment. It is important to remember that architecture is not just a synergy of technology, but more importantly processes, rules and best practices. The purpose of implementing a data architecture is to plan methods for acquiring, transporting, storing, using, and securing data.
Data is increasingly seen as a key resource that organizations can use to make more informed business decisions, improve marketing campaigns, optimize business operations and reduce costs, all with the goal of increasing revenue and profits. However, failure to properly manage data can leave an organization with inconsistent data sets and data quality issues that make it difficult to run an effective BI system, or worse, lead to erroneous conclusions.
We deal with end-to-end BI system implementations: audits, data warehouse selection, data processing and integration, data science, ETL and ELT. On our pages you will find out how we manage these areas. Feel free to contact us.
Enterprise Data Management (EDM) is the level of organizational maturity at which your organization creates, integrates, distributes and manages all data that flows in and out of applications and processes. At Vizyble, we offer audits that help us improve your organization’s data management. We will analyze your data administration processes, which include data collection, validation, storage, protection and processing.
The main purpose of visualization or visual analytics is to clearly communicate what the data says, to help explain trends and statistics and to show patterns that would otherwise be impossible to see. Data visualization is used to make processing, interpreting and understanding data as simple as possible and to make it easier to extract detailed information from data. These are created in Business Intelligence tools that work with mechanical processes, algorithms, machine learning, natural language processing, etc. to identify patterns and trends.
We create data visualizations, reports and dashboards. We use the best available Business Intelligence tools that elevate data visualization to a level offering full dynamics and interactivity. We advise and teach how to take full advantage of the opportunities offered by constantly evolving Business Intelligence tools. We follow the latest trends in this area. Examples of our solutions can be found on our website.
Business Intelligence Adoption
Traditional factors such as a good management team, implementation team, and investment resources that often led to success in Business Intelligence implementations are beginning to lose their importance. Today, it is not enough to rely on a vice president or senior executive to lead a Business Intelligence initiative to success. While management support still plays an important role, the users and their willingness to work in a new way will determine whether BI adoption is successful.