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.
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?
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.
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
" '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."
Self-service BI allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.
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.
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.
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.
