Data literacy has been a trending topic for a few years, and it is known that it is a vital skill for enterprises seeking to fully transform their organizations and become data-driven. As technology can be a point of failure if not handled properly, it is often not...
When talking about data management, we often speak of the term “data preparation”. According to SearchBusinessAnalytics, data preparation is the process of gathering, combining, structuring and organizing data so it can be analyzed as part of data visualization,...
The recent global pandemic has left many organizations in an uncertain and fragile state. It is therefore a fundamental requirement for enterprises to keep pace with data and analytics trends in order to bounce back from the crisis and gain competitive advantage. From...
In this age where data is all around us, organizations have increasingly been investing in data management strategies in order to create value and gain competitive advantage. However, according to a study conducted by Gemalto in 2018, it was found that 65% of...
”There aren’t enough expert data scientists to meet data science and machine learning demands, hence the emergence of citizen data scientists. Data and analytics leaders must empower “citizens” to scale efforts, or risk failure to secure data science as a core...
In 2019, the Data Scientist was named most promising job by LinkedIn. From Fortune 500 companies to small enterprises all around the world, building a team of data science professionals was a priority in their business strategies. To support this claim, the year 2019...
In the data world, a business glossary is a sacred text that represents long hours of hard work and collaboration between the IT & business departments. In metadata management, it is a crucial part of delivering business value from data. According to Gartner, It...
Exploding quantities of data have the potential to fuel innovation and produce more value for organizations. Stimulated by the hopes of satisfying customers, enterprises have, for the past decade or so, invested in technologies and paid handsomely for analytical...
In order to optimize their business strategies and improve productivity, data-driven organizations are seeing a shift in their data management practices; going from managing and maintaining data, to also managing and maintaining metadata. However, Gartner states that...
Metadata is becoming increasingly important for modern data-driven enterprises. In a world where the data landscape is increasing at a rapid pace, and information systems are more and more complex, organizations in all sectors have understood the importance of being...
Data management can be defined as the process of ingesting, storing, organizing and maintaining all data created and collected by an organization in order to help drive operational decision-making and strategic planning. It won’t be a surprise if we tell you that data...
Metadata management is emerging discipline and is necessary for enterprises wishing to bolster innovation or regulatory compliance initiatives on their data assets. Many of them are trying to establish their convictions on the subject and brainstorm solutions to meet...
