Indexima takes stock of the 4 major challenges to come in the data sector.
Few have been years as turbulent as 2020. This unprecedented situation has forced organizations to meet the challenges of digital transformation faster than expected, resulting in its share of changes and developments. As 2020 closes its doors, the question arises: what does 2021 hold in store? As a consequence of the difficulties linked to the pandemic but also of the transformation of organizations, 2021 will be the year of the democratization of data.
The month of December is conducive to assessments and predictions on the challenges to come, as firms such as Gartner or Forrester do very well. Based on our discussions with our customers, prospects and analysts, we also wanted to take stock of the 4 main analytical challenges that companies will have to meet next year.
1. The dashboard is dead. Long live the dashboard!
- As a direct consequence of the containment imposed by the Covid-19 epidemic, the needs for analytical dashboards, also called dashboards, have evolved. No more old-fashioned rigid board that has been used for nearly 25 years! The health crisis has forced companies to fundamentally rethink their analytics needs in order to obtain and analyze data at a pace closer to real time. And that momentum is not about to stop. In 2021, companies will no longer be able to do without modern dashboards that are much more dynamic and easier to use. A real question of survival in a context where each organization will have to get as close as possible to its customers.
- How will the dashboard evolve? We will no longer be able to query the data through simple classical quantified objectives but through very simple questions such as the frequency of visits by a segment of customers to a site, correlated with the purchase of a particular product. The system will be able to respond very quickly and dynamically. Another major change? These dashboards will be simpler and therefore accessible to more functional business profiles. The dashboard is being reinvented to make it possible to democratize the use of data within the company and allow the wider world to benefit from it. Simplifying and automating these processes will enable business users to be able to access data and take advantage of it in their daily tasks.
2. Companies will have to finish breaking their silos to exploit their data.
Many companies still find it difficult to cross-reference their data today because of their different and varied storage systems. Organizations will have no choice in 2021: they will have to successfully integrate different data sources at scale to exploit them.
- Among the solutions available to them to facilitate the crossing of data from different departments, companies will have to choose between grouping their data on a Data Fabric platform or modifying their architecture via a data hub. While the first approach is attractive, many organizations still have to contend with their legacy IT systems and therefore avoid adding a copy of their data to a new platform. Another risk: by copying this data externally, it may not be up to date. Organizations will therefore have to choose to reconcile transformation and performance by keeping the data in its original sources – to ensure that it is regularly updated – and quickly accessible through a data hub.
3. Controlling cloud operating costs at the center of concerns
As we know, the importance and usefulness of the cloud is well established. The cloud has become so inescapable that the main question in 2021 will no longer be whether companies should integrate a cloud strategy, but rather how to control operating costs.
- The return on investment of the cloud will be faster in the short term, thanks to its ease of use and an out-of-the-box service level, allowing businesses to avoid having to deal with problematic techniques. In addition to the last possible blockages in terms of security and sovereignty in the most conservative sectors such as banking for example, the real point of urgency to be resolved is the operating cost which can reach astronomical levels for analytical use cases. . As the democratization of data is underway, the time spent on the data will be more important – consequently, the cost will be too.
4. Hyper-automation at the service of data engineers
- While companies have all realized they need to capitalize on data, there is a fourth big challenge for 2021: how to differentiate themselves from the competition. How? ‘Or’ What? By exploiting data in a less traditional and more original way to gain a competitive advantage.
Source: Decideo, Emmanuel Dubois