Data Silos

Data often resides in departmental silos leading to duplication and inconsistent data and making efficient transversal analyses nearly impossible. Would you like to have a consistent view on your customer journey? Are you missing proper master data?

Situation: Data is spread out

Finance, administration, HR, marketing, sales teams, and other departments within your organisation need different information to do their work. In many organisations departments are accustomed to working in their own worlds. Each has its own lingo, processes, and challenges. Because your company consists of several of these departments spread over perhaps multiple locations, there is a good chance that your data will be spread across the company in the same way. These separate locations are known as data or information silos.

Due to inconsistencies in data that may overlap across silos, data quality often suffers. And when data is siloed, it is hard for leaders to get a holistic view of the company.

Challenge: Access to enterprise-wide information is key

Data silos seem harmless but undermine productivity, hinder insights, and obstruct collaboration. As the quantity and diversity of data assets grow, data silos also grow.

Competition, the need to cut costs, and the desire to seize opportunities are driving organisations to do more with their data. Access to enterprise-wide information is necessary to maximize operational efficiencies and discover new opportunities.

Solution: A modern data platform and data governance

You can modernize your data platform in such a way that silos do not block data flows or cause rework. You can do this by centralising and optimising data for analysis. Built a future proof data platform that allows for more insights and integration across different systems, without impacting the current business.

With data platform modernisation you can streamline your data across IT systems and remove barriers, so your business can achieve its strategic objectives and goals. A modern data platform 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.

When the data is centralised and integrated, there is also an opportunity to centralize data access and control with data governance. Data governance provides a framework for any data related initiatives. It is working at three levels with data: people, process, and technology. Setting up a business glossary, meta data management, and data access policies to facilitate self-service analysis, so business users with permission can easily access the data they need.

Contact our experts to discuss how we can help you solve 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.

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.