Limited expertise

Data is a complex domain. Is your organization capable of finding, attracting, and retaining people with the right expertise to unlock the value of data?

Situation: Complexity and scarcity

Organizations are dealing with increasing complexity: the number of IT systems, the amount of data, the processes, products, etc. have grown exponentially over the years and are continuously changing.

It is increasingly difficult to attract and retain data experts. Data expert demand is far higher than the supply, leading to scarcity of data experts. For specific data challenges, the resource needs are highly specific and may also vary over time.

Challenge: Finding the right level of expertise, in the right amount, at the right time

To unlock the true value of data within an organization, different data experts are needed.

Developing a data strategy or increasing the data maturity in an organization can be done with the help of data governance experts. For data platform modernization projects, you might need data architects, data analysts, data engineers and specialists in certain technologies like data warehouse automation, cloud, CDC, real-time data warehousing, data lakehouse, … To gain the right analytical insights from the data, you need data visualization experts, which is another skill set. For advanced analytics data scientists and ML engineers come in handy. Project managers are needed to steer projects according to scope, timing and budget. Enterprise Architects can help gain transparency, get a grip on the (IT) landscape and ensure IT budget is allocated in terms of business value.

Even if the right level of expertise is found, it is not always sufficient to achieve the objectives. You might need more – or sometimes less- expertise, and this changes over time.

Solution: Working with Sparkle consultants

Sparkle consultants with various levels of expertise can be hired for a specific timeframe or number of days. It allows organizations to achieve results in projects without the need to hire everyone internally. The Sparkle consultants generally have a lot of experience. With an average of 15 years of experience, our experts deliver high quality results faster than you would do in-house.

Sparkle covers ample data expert areas, from strategy to implementation, from technical to business, from advice to hands-on work. Do contact us to discuss how to overcome your data challenges.

At VAR we are modernizing our application landscape. We wanted to take the usage of data to the next level. With Sparkle, we introduced speed and efficiency in the setup of a modern data platform. The data platform is fed in real time and has not only delivered new insights, but has also become a crucial part of our enterprise architecture.

The organization encountered the need to develop its experience in Business Intelligence. We hired Sparkle and they did not only deliver the right experts, but also helped us finetune our strategic objectives and setup support structures. The pragmatism and maturity of the Sparkle consultants fits really nice within our team.

The operators of the traffic centre get too many traffic alerts and needed a way to filter out only the real incidents. Sparkle (previously Lantana) analysed with different AI methods if a prediction of real alerts was possible. It gave us very goods insights in the data and we decided to improve the granularity, the quality and the quantity of the data.

Sparkle is helping us setting up data governance and enterprise data architecture within our organization. We needed a partner that was capable of tackling several data related challenges from a holistic perspective, with a high level of expertise and yet with a pragmatic approach. We are happy with the highly skilled and qualified services Sparkle offers.

With the help of Sparkle it became more clear what aspects of data we had to focus on and how to build it. Sparkle also helped our health tech startup with finding already existing API’s and methodologies which saved us a lot of time.

Customer case: Nabuminds migrates to Microsoft Fabric platform

The move from fragmented, tenant-based BI to a unified platform delivered faster insights, stronger governance, and future-ready analytics capabilities.

Implementing a scalable and secure data platform with Microsoft Fabric

Built on Microsoft Fabric, the new data platform delivers scalable, secure, and governed data management. With automated pipelines, a medallion architecture, and role-based security, it enables efficient, self-service analytics and confident decision-making.

Streamlining data and reporting with Microsoft Fabric

A company overcame fragmented data and manual reporting challenges by implementing Microsoft Fabric to centralize and streamline data integration. By introducing role-based access and automation, the organization significantly improved operational efficiency, data accuracy, and security—delivering timely, reliable insights that enable smarter decisions and better customer management.