High IT dependency

Is the lead time between the request for new insights and delivery too long? Are you looking for ways to speed up the delivery of new information? Do you wonder how self-service can make you less dependent on IT?

Situation: Business needs new insights fast

The world around us is changing rapidly, and so is business. Organizations today operate in an era that highly prioritizes data and how it can be used. Novel insights are continuously needed at a fast pace to keep up with competition and the changes around us. While the time to develop new reporting by the IT department can take weeks, or even months.

Staying competitive means understanding your business and the needs of customers in perhaps near real-time. Your business managers are asking for faster data insights to make the best decisions and stay competitive.

Challenge: Developing novel insights from data is taking too long

There is a high dependency on IT and data teams to develop new data & analytics insights. Reducing the overall time to develop a new report is crucial to stay competitive and keep trust in the data & analytics teams.

Often, business complains that it takes too long for IT to deliver insights. The risk of business developing their own shadow IT increases and this should be avoided.

Solution: Modernize your data platform and invest in automation

A modern data platform with a layered architecture is much more performant and can fulfill the current and future (+/- 5 years) data needs. It is often cloud native, integrates data from multiple systems, and is cost efficient to setup and maintain. The speed to deliver new insights is significantly increased.

Data warehouse automation brings additional benefits in terms of speed and flexibility. With the right automation tool, the ELT (or ETL) scripts and the DDL script can be automatically generated. The time needed to deliver new analytics to the business can be reduced by 80%.

Data warehouse automation is often used in combination with Data Vault as a data modelling methodology. For organizations that are subject to a lot of change in data sources, either through changing business or through mergers and acquisitions, the flexibility of Data Vault is significant. Data Vault helps to provide stability and continuity in reporting, while the application landscape is evolving. This also allows a more flexible approach to migration schedules or upgrades in the source systems.

Please contact our experts to discuss how we can help you solve your data challenges and create a solid foundation for data driven decision making.

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.

VAR migrates to a modern cloud based data platform

By implementing a modern data platform VAR reduced manual work, obtained better insights, phased out legacy software and discovered possibilities to monetize data.