Data mesh is a hot buzzword, but what is behind it? Regardless of how one feels about it, the concept addresses some highly relevant areas. It is about a focus on data products and the decentralized creation of and responsibility for data products in the line of business, which are based on a self-service analytics infrastructure and federated data governance with a high degree of automation. But does data mesh really address the central pains that many companies are struggling with? Are the principles of data mesh suitable for solving these challenges in practice? What functional, technical a ..read more

ESG reporting is often a very disruptive process and the typical motivation for doing it is not only driven by regulatory requirements. It has become an important instrument for companies seeking to maintain a good image with their customers, employees and business partners. Typically, companies refer to more than one ESG framework in their reporting and far exceed the required minimum scope. Due to the variety of standards, stakeholders and options for technical implementation, there is no standard procedure model for ESG reporting in the market yet, and many companies are going above and bey ..read more

dScribe data is an innovative start-up from Belgium that offers a data catalog focusing on easy implementation, maintenance and usage. dScribe sees lack of user adoption as the main reason for the failure of data catalog projects. Therefore, the company seeks to integrate its solution into existing user processes/tools while offering transparent and affordable licensing models for straightforward roll-out. Its wide range of connectors to SAP systems, including SAP Analytics Cloud, SAP BO, SAP BW, SAP BW/4HANA and S/4 HANA, should be of particular interest to SAP customers. Who is dScribe? Foun ..read more

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema. Compared with laggards, a higher portion of best-in-class companies adopt the data vault, embrace its standards, and intend to expand their use of it. They plan to expand their use of this modeling technique and methodology. Eckerson Group wrote this report in collabor ..read more

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. Ultimately, it is the people in the company who have to change their behavior and mindset in order to benefit from the ever-increasing amount of data available to them. In last year’s BARC Data Culture Survey, participants named ‘data access’ as the most frequently implemented of the six elements in BARC’s Data Culture Framework. For this reason, this year we f ..read more

Who hasn’t experienced this: A new round of corporate planning means a lot of stress, overtime and repeated, tiring discussions about its relevance. Companies are therefore looking for ways to produce their plans and forecasts in less time, with less effort and with better results, because in a volatile market environment characterized by crises, there can no longer be “business as usual”, even in corporate planning. For many organizations, modern technology around machine learning (ML) and the cloud, as well as its growing ease of use, offer a great opportunity for optimization. In the contex ..read more

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Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. But is it really? Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. We even know companies that are cutting back their investments in a “single point of truth” for these reasons. Participants around the world were surveyed, with mos ..read more

Background and aim of the study Efficient and powerful group accounting and the associated software support are becoming an increasingly important success factor in the responsibility of many CFOs. On the one hand, this results from the requirement for the finance function to act quickly and efficiently. However, new requirements are being placed on consolidation that go far beyond the information provided by traditional financial consolidation. Given this background, the aim of this study is to describe the transition from consolidation solutions to group accounting suites – including the cur ..read more

Artificial intelligence (AI), machine learning (ML) and data science are among a large group of buzzwords associated with major breakthroughs in the way business is done and better outcomes are achieved. In this BARC study, we examined the mechanisms behind those success stories and the methods that come into play to achieve them. In short, we focused on the concepts of DataOps and MLOps and their impact on the application of ML. We evaluated the perception and adoption of these concepts in detail as well as their contribution to the success of AI, or more specifically, ML applications in ente ..read more