Defining and leveraging relevant KPIs –
Data strategies.

Questions about data strategies? Send us a message and our experts will be in touch.

Many companies are sitting on a mountain of data and simply don’t know what to do with it and it’s a struggle to use them to define relevant KPIs that make a tangible impact on your business. In many cases, companies have the technical platform they need, but they fall short when it comes to organisation, so there is no mutual understanding of how to handle the data meaning KPIs are not consistently defined and silo structures can prevent information from making it through to the decision makers. Then there’s the issue of standalone solutions being developed by specialist departments without any centralised coordination—bringing little benefit to the company as a whole. With a clear data strategy from Bechtle, you’ll avoid these issues and smooth the way to leveraging data to drive your business forward.

Our data strategy experts define how data should be collated, processed and used so they can be exploited to best achieve your corporate objectives such as better risk management, greater process efficiency, increased sales and improved customer experiences. Working closely with your business operations and specialist departments, we’ll lay the foundations for solid data management and governance and align them with your corporate strategy so you can benefit from data-driven business and leverage new digital business models.

Bechtle data strategy – Your benefits at a glance:

Holistic approach – We’ll align your IT and business behind your data strategy.

We breakdown silo structures and tap into data potential.

A solid data strategy opens the door to new business models and products.

We establish uniform data processes and standards for you–even compliance related.

We are by your side on your journey to boosting data competence at your business.

IT and business – The dual layers of a data strategy.

A data strategy covers two layers. Firstly, the technical layer which is all about what data are generated by existing infrastructures, which KPIs can be gleaned from them and if other solutions are required for data generation. Then there is the data competency layer which is all about a company’s ability to define which KPIs are required and then share and use the data within the organisation. It means business decision makers have to be aware that data play a fundamental role in achieving business objectives and developing new business models. Aligning both these layers creates processes that generate relevant KPIs for your business.

A strategy normally comes about step-by-step, developing in line with your company’s needs. The illustration above shows the stages of development that businesses typically go through when building data competence ranging from simple to ever-more complex questions and methods.

Example use case – KPI communication issues.

The following is a great example of how important both technical and organisational aspects are when it comes to a well-oiled data strategy. During one particular project, our experts discovered inconsistencies in the definitions of some terms within one company which meant two departments had a different understanding of which KPIs make up revenue, causing plenty of confusion. Once the issue had been unearthed, we were able to implement data strategy to establish uniform KPI definitions allowing business-related questions to be answered far more satisfactorily.

How we create a data strategy.

The status quo and business requirements differ from company to company, which is why there is no one-size-fits-all data strategy, but rather tailored offerings. With this in mind, our experts arrange a workshop to collaborate with your specialist departments and analyse which data you have, how they have been distributed thus far, how distribution can be optimised, whether other data are required to answer specific questions and which technological solutions are needed to do so. In this way, we map your data landscape, identify pain points and work with you to define clear target objectives.

In the next step, our experts analyse which data architecture best suits your individual requirements, looking at, for example, whether a data lake or data warehouse would be the better choice, if your employees should analyse the data themselves using self-service BI and if the necessary expertise is already on hand or requires some work. By answering questions such as these, we can design an optimum data strategy step by step and help you when it comes to integrating and implementing it into your organisation.

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Example use case – A data strategy for an energy provider.

An energy provider was looking to measure its success across various areas. To do so, data needed to be collected automatically before being used to define meaningful KPIs. Before the company introduced a technical solution, it contacted Bechtle to define a data strategy. Our experts held a workshop with the specialist departments and analysed which data the company already generated and the KPIs it would need in the future, among other things. Using this as a foundation, we developed a data strategy that covered data governance, defined how decision makers access the KPIs and which processes would be used to request reports and define new key figures before developing a platform architecture with suitable technological solutions.

We bridge the gap between departments and business.

A clear data strategy is the cornerstone of a future-proof company and Bechtle is the partner you need to get you there! We have an eye on the big picture thanks to our expertise in IT and business, which allows us to collaborate with your departments and management on an equal footing, develop a strategic framework and handle technical implementation. Get in touch with us today to find out more about how we can support your data strategy.

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Questions about data strategies or want to discuss a specific project? Get in touch today for a no-strings-attached initial consultation.

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