Business Analytics

Business Analytics remains at the core of data driven decision making. From collecting data over modeling to visualization & analysis, Business Analytics turns data into impact for your organization

Business Analytics provides the foundation of data-driven working and better business decision making throughout the organization.

For your data to reach impact, you need more than the data alone. Business Analytics is also about structurally providing reliable platforms and setup, usage-driven processes and people with the rights skills and attitude. Too often Business Analytics projects struggle when these aspects are not looked at. 

That's why partnering u with a specialized data company MAKES the difference between reaching real impact or being stuck in unfulfilled ambitions.

From data to impact

Business Analytics projects can be perceived as extensive, involving many people and requiring long development cycles. There is another way. With a Modern Data Platform it’s possible to accelerate your time to impact, perform several tryouts with low effort and expand gradually what works.

  • Data can improve your organisation's decision making
  • Data can help you better understand customer behavior
  • Data can improve & extend products & services
  • Data can strengthen internal processes
Business Analytics service partner office working analyst consultant

Turn your data into an asset

Your data is an opportunity to get a competitive edge, to mitigate risks and to grow your business in a sustainable way by making the right decisions. But too often data remains unavailable, unknown or not combined and opportunities are missed. Are you seeing the untapped potential? 

    What’s your data challenge?

    datashift ceo nico huybrechts

    3 Trends that are Shaping the World of Business & Analytics

    Modern Data Platform, our view on Business & Analytics

    Business Analytics projects may be perceived as extensive, involving many people,and requiring long development cycles. But it doesn’t have to be like that. With a modern data platform, you can accelerate your time to impact by performing several try-outs with low effort and gradually expanding what works. A modern data platform provides a solid tech backbone for your Business Analytics because it enables you to handle high volumes of data, accelerate your data consumption, and ultimately become data-driven throughout your organization.

    High level architecture of a Modern Data Platform compared to a Data Warehouse
    From understanding the power of data for our organisation to realizing an impact with concrete dashboards and analysis, Datashift helped us from the start in our data journey. I especially appreciate their pragmatic, flexible and transparent way of working.

    Ken Rottiers,
    Digital Project Manager, Messer Western Europe

    quote icon

    " 'Business Intelligence is dead', I hear from hype-seekers and buzzword-talkers. Far from, Business Intelligence is a true basis for data-driven working. Powered up to Business Analytics and a Modern Data Platform it enables you to handle high volumes of data, accelerate your consumption of data and becoming data-driven throughout your organization."


    quote author
    Cedric Raeymaeckers
    Senior Lead Business Analytics

    Want to get trained in Business Analytics? Follow The Link!

    Get inspired by these Business Analytics use cases

    Read our paper on the Modern Data Platform here

    Business Analytics articles you might be interested in

    How to build a cost-effective and robust streaming data pipeline

    Envision a situation where you're tasked with managing clickstream data received via Snowplow. In this blog post, we'll guide you through our solution, step by step.

    Read More

    Microsoft Fabric: The Game-Changer in Data Analytics?

    Microsoft introduced Fabric this week. Possibly and probably the game-changing solution that can transform data analytics and integration. We dived into what Microsoft has unveiled with Microsoft Fabric and how this can impact Data Engineers, Analysts and Scientists. But we also have some open questions that we will answer once we are finished testing this exciting technology.

    Read More

    Why software engineering best practices matter so much in data projects

    With the rise of modern data platforms and cloud-based solutions, BI has become just one part of a much larger data ecosystem. This evolution has presented data teams with a host of new challenges, primarily in terms of the skills and expertise to create and manage data products that meet the needs of data consumers.

    Read More

    Why lift-and-shift isn’t copy-and-paste

    Lift-and-shift is potentially a very efficient method to move your applications to the cloud. You need to be aware, though, of the implications of the pay-as-you-go pricing model that comes with a cloud deployment. Check out our 3 tips to ensure lift-and-shift delivers the most cost-effective solution.

    Read More

    Shift from data to impact today

    What's your data challenge?