Business Intelligence & Analytics

Digitalization for your company

Companies are often faced with the question of which of the two approaches - business intelligence or business analytics - achieves the greatest benefit and should therefore be chosen. But what is actually behind these two terms and what are the differences between business intelligence and analytics? We would like to provide answers to these questions.

Business Intelligence (BI) is a method for the systematic analysis of companies. Establishing a reliable basis for business decisions is the overall goal. To achieve this goal, a BI system collects data from various sources, evaluates it and then displays it graphically. Accordingly, classic BI solutions provide only past-based evaluations.

In contrast, business analytics (BA) additionally deals with future forecasts. This is a key differentiator between the two approaches of business intelligence and analytics. In other words, it is about solutions for building simulations and analysis models so that the ACTUAL state can be better assessed and reliable forecasts for the future can be made.


of medium-sized companies plan to increase IT investments for Business Intelligence projects.

Architecture change of Business Intelligence

Over the years, the trend in architecture has changed from BI to Mobile BI . With Mobile BI, users with mobile devices such as smartphones or tablets can access analyses from any location. This means that decisions can be made at any place and at any time.

With Self-Service BI , users can create their own reports and customize their presentation. By designing appropriate BI solutions, users should be able to independently implement data exploration even without programming and IT knowledge. This enables users to answer questions even without IT experts. This saves resources and working time.

Success factors of Business Intelligence projects

For those responsible for all business areas in a company, it is important to identify developments in good time and to derive appropriate measures. For this reason, business intelligence and analytics can no longer be ignored by many companies today. It is essential to adapt one's area of responsibility to changing conditions even before the competition. At the same time, companies must pay attention to the important indicators in case they show an acute need for action and thus, if necessary, take corrective action in the business on a daily basis.

However, it is often the case that acceptance for the use of corresponding business intelligence tools is not yet given throughout the company and at all decision-making levels. BI evaluation is often the sole responsibility of controlling and corporate management, since the creation of analyses in many BI applications only works in cooperation with the BI specialists in the respective IT department. On the other hand, decision-makers in specialist departments often use the capabilities of their enterprise resource planning (ERP) systems.

Data plays an important role in large companies as well as in medium-sized enterprises. Topics such as business intelligence and big data are therefore by no means limited to a specific company size. Data is always needed to survive in an increasingly agile and global market environment and to exploit the best possible opportunities. Important success factors today and in the future are therefore innovations in the product and service portfolio as well as within all business processes. Decision-optimizing solutions for business intelligence and big data are therefore becoming increasingly important.

Business Intelligence & Analytics

Business Intelligence in medium-sized businesses

The goal of medium-sized businesses is to be able to analyze data from any internal and external source in a targeted manner in the future. In addition to a modern ERP solution, this also requires sophisticated solutions and tools for business intelligence and business analytics. But if the data basis is inadequate, even the best tools are useless.

Before the rollout of complex analysis projects makes sense, companies must first break open data silos, eliminate redundant data and harmonize systems. In terms of performance, security and resilience, the IT infrastructure must meet the high demands. In order to reduce the effort involved, services from the cloud should be used.

In summary, it can be said that BI and BA solutions complement each other. In order to map both the classic key figure reporting and to obtain precise future forecasts, both approaches should ideally be combined. Some providers of traditional systems are already expanding their BI systems with corresponding algorithms. BI is often already a component of an ERP solution. The boundaries between ERP, BI and BA are therefore increasingly blurred.

INKUBIT as your reliable partner for Business Intelligence 

Data is ubiquitous today. Meanwhile, we have much more data than we can ever use. That's why many companies are thinking about how they can get more value from their BI solutions. Simply collecting the valuable data somewhere in the company is no longer an option. Those who have already completed the digital transformation have a decisive advantage. They are able to bring together data from different business units, sensors, systems, regions and other sources.

In order to achieve better results, we support you in optimizing your use of BI so that you can make full use of your data stock. To achieve this, we start with your data-intensive processes and your existing business analysis systems. Another option is the joint development of comprehensive strategies for your data, its analysis and the use of artificial intelligence (AI) to pave the way for digital change.

Business Analytics & Intelligence - Microsoft BASE Implementation Methodology

Business Analytics & Intelligence - Microsoft BASE Implementation Methodology

Solution-oriented approach of INKUBIT

We show you the entire analysis cycle - from consolidation to operationalization to standardization - in our solution-oriented approach. In doing so, we start at the beginning, making it easier for you to prepare for the upcoming milestones:

  • Bringing together: We help bring your team together to collaborate on data, analytics and AI. We continue to make isolated data sets accessible and help you use the cloud and advanced analytics to gain insights, tap into big data, and establish self-service.
  • Operationalization: We support you in integrating data usage into your work culture. Both the integration of new data sets and sensor data are part of this. Your data systems will be opened up to industry and business standards, allowing different types of new external data to be used. We work with you to develop and implement the necessary processes.
  • Standardization: Finally, we work together to develop governance and management standards to put you and your company in a good position. Furthermore, we also take over the ongoing support if you wish.

Your standard implementation

17-Days: Implementing an Azure DWH to unify your reporting landscape 

Our Standard Packaged Services Offerings (SPSO), standardise a project from A to Z and provide predictable cost, scope and timeframe for adding value to your business. INKUBIT developed a 17-day standardised Microsoft Azure Data Warehouse Implementation Package, specialising in, among other things, the provision of the solution from the cloud, its implementation and customisation, data import and end-user training of the solution.

Advantages of Business Intelligence

We help you to put information to work in your company in an intelligent way. Our Business Intelligence & Analytics offering provides decisive advantages in this regard:

  • Tailored to your industry and company, you will receive a strategy for business analytics, including business intelligence & business analytics
  • A sustainable IT infrastructure, either on-premise or in the cloud, and planning for your analytics platform
  • Personalized customer and employee experience based on intelligent information analysis
  • Determination of skilled labour requirements by applying the latest analysis methods tailored to your business situation
  • Sustainable data environment with integrated scalability, security, maintenance and governance
  • Ensure scalability and agility through pre-configured analytics platform solutions

Features of Microsoft Business Intelligence solutions

Convert company data into helpful information
Recognize the value of your company data and convert it into information that is helpful to you. This allows you to make decisions based on facts rather than opinions. Whenever decisions need to be made, Microsoft's BI solutions help all parts of your organization transform data into intelligent and easy-to-understand visualizations.

Empower your employees to create reports and analytics on their own
Empower your business unit employees to make informed decisions faster by equipping them with powerful self-service analytics and business intelligence & business analytics tools. Also, deploy the Power BI mobile app and leverage collaboration tools such as Microsoft Teams and SharePoint and embed the most relevant content.

Visualizing and sharing data
Integrated automation and intelligence let you easily prepare and model data. To help users get the most out of your reports, you can professionally present your data with a variety of data visualizations, AI-based features, and branding options. You can share all results with your team members inside and outside your company, so that all members can use the same information.

Intuitive use
You can develop data browsing features that look similar to the other Microsoft technologies you use every day. This gives you the advantage of being able to get started quickly without needing any special training. In our library of data connectors, you can always access popular cloud and on-premises sources such as Excel, SharePoint, Azure SQL Database, Dynamics 365, and Salesforce

Data security and privacy compliance
Your valuable business data requires strict security and privacy features when used by BI systems. To prevent data breaches, you can apply protections to your BI data. Use national clouds to meet the compatibility standards and certifications that apply in your industry and to comply with local regulations regarding service provisioning, data residency, and access and control.  

Further information on business intelligence and analytics products and services from Microsoft:

Learn more about our cloud-based Microsoft Business Intelligence solutions