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

4x4 ways Business Analytics create value

What’s your Analytics challenge?

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.

Let's talk.

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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? Are you looking for the next step to take?

What’s your data challenge?

Don’t forget to also start treating your data as an asset! Check out our view on Data Governance

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Looking for an experienced Business Analytics partner?

Curious how a Modern Data Platform can accelerate your growth in data impact?

To truly unlock your data, it takes a clear strategy, a solid technological foundation and the right people. And that's what we provide for our clients.

Where are you today when it comes to your data? Reach out and discuss your challenge.
We're here to help.

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

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" '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

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.

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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.

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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.

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What an event-driven architecture brings to the table to solve your data ingestion challenges

Before you can generate insights from your data, you need to move those data from an operational to an analytical environment - a process commonly referred to as data ingestion. An event-driven architecture provides an elegant way to achieve a process marked by timeliness, performance, and cost-effectiveness.

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Get ready for the future. Meet Azure Synapse.

A traditional data warehouse setup is no longer up to the many data challenges ahead. If you want to get ready for the future, regardless of the amount of data you are dealing with, you should check out Azure Synapse. This data analytics environment combines all components of a modern data platform.

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Laying the groundwork for a modern data platform

Whenever we work on a project for a client, one of our concerns is to deliver a solution that stands the test of time. Check out how we worked with a client to lay the groundwork for a modern data platform using a Cloud-first strategy, moving infrastructure to a cloud-computing platform.

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Why a lightweight cloud analytics lab goes hand in hand with your BI environment

As your traditional BI environment bumps up against its limits, a lightweight cloud analytics lab can serve as a complement and as a first step in building a future-proof modern data platform. Check out three reasons to level up your current data architecture.

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Is Data Warehousing still relevant for your business?

The technology behind data warehousing has been around for a while. And yet, there are quite a few companies that haven’t made the switch so far. High time to take a closer look at some of data warehousing’s unique advantages and discuss how to set your priorities.

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Power BI vs. Tableau: what’s your best choice?

Power BI and Tableau are genuine top-tier challengers. But which BI tool is the best one for your business? Based on their field experience, our BI consultants have their own points of view and favorites. Check out the candid opinion of 3 Datashift consultants.

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Microsoft Azure Data Factory as a must-consider alternative for on-premise ETL – tools

When using cloud-based technology your data is processed, stored and maintained in the cloud and not on a physical server at your organization.

This means that no infrastructure is necessary for the set-up and you don’t need to worry about system maintenance. This helps in saving resources (time and money) at the start of a project which can be used to understand requirements of the business. Your cloud solution will also be more adaptable to changing situations : newer features can be added easily and up-scaling is only one click away. By the hand of the different data security protocols and features, you can sleep soundly that your data will be secure in the cloud.

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Shift from data to impact today

What's your data challenge?