Data quality issues

Is everyone in your organisation aware of the importance of data quality? Do you have the right tools and people to monitor and ensure the required data quality levels?

Situation: Data quality issues can cost up to 25% of total revenue

Data is your organisation’s most valuable asset. Experienced business managers know that reliable data is a requirement for success. Decisions based on flawed data can have a disastrous impact on the business. Therefore, data quality is a worrisome subject for many executives. Poor data quality can be costly and can cost up to 25% of total revenue as shown by a study conducted by MIT Sloan.

Challenge: Managing data quality across systems can be very complex

Data resides in multiple systems. Data is extracted, loaded, transferred, and integrated before it is shown in reports that leads to insights. During this chain of events, a lot of things can go wrong leading to data quality issues. For instance, prices that are not up to date, currency conversion issues, stock updates not coming through, order information or client information that is inconsistent from one report to the other….

Managing data quality within an organisation can be very complex, it requires business rules and definitions across systems, clear ownership, cross departmental collaboration, setting up structures on both technical, process and people level.

Solution: Data Governance

A proactive approach to data quality allows you to check and measure the level of quality before it even really gets into your core systems.

Proper 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.

Do not hesitate to contact our Data Governance Consultants to discuss how we can help you overcome your data quality 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.

Découvrez nos cas de référence

Cas client : Nabuminds migre vers la plateforme Microsoft Fabric

Le passage d'une BI fragmentée et basée sur les tenants à une plateforme unifiée a apporté des insights plus rapides, une gouvernance renforcée et des capacités analytiques prêtes pour l'avenir.

Mettre en place une plateforme de données évolutive et sécurisée avec Microsoft Fabric

Bâtie sur Microsoft Fabric, la nouvelle plateforme de données offre une gestion des données évolutive, sécurisée et gouvernée. Avec des pipelines automatisés, une architecture medallion et une sécurité basée sur les rôles, elle permet une analytique self-service efficace et une prise de décision confiante.

Rationaliser les données et le reporting avec Microsoft Fabric

Une entreprise a surmonté les défis de données fragmentées et de reporting manuel en déployant Microsoft Fabric pour centraliser et rationaliser l'intégration des données. En introduisant un accès basé sur les rôles et l'automatisation, l'organisation a considérablement amélioré l'efficacité opérationnelle, l'exactitude des données et la sécurité, en fournissant des insights fiables et au bon moment qui permettent des décisions plus intelligentes et une meilleure gestion client.