Blogs

June 27, 2022

Why do You Need Trusted Data? Limited, confusing, outdated, inaccurate, and unreliable data causes users not to trust their company’s data. Using unreliable data affects all aspects of your organization like operational efficiency, customer experience, increases risk and, compliance. This is why managing data access and assuring data understanding, validity, and quality is crucial. In ...

April 19, 2022

The Wisdom of Crowds Dresner Advisory Services report on Analytical Data Infrastructure (ADI) is an important source of information on what features advanced organizations want (and get) from their data analysis platforms. It also ranks software vendors like Exasol according to their customer satisfaction. Areas of Dresner ADI covered with Exasol are listed below. For ...

April 1, 2022

All companies must to follow the rules and regulations of the countries in which they operate. As businesses develop in size and scope, they are subject to an increasing number of rules governing how they do business. Regulatory compliance is the organisational practice of ensuring that business is done in conformity with the relevant rules ...

March 19, 2022

The ultimate question is undoubtedly, “What is RPA?”. In a nutshell, its main purpose is to increase workplace efficiency. Robotic Process Automation 101 will give you a quick overview of the idea. RPA, or Robotic Process Automation, is a simple solution to enhance your workflow by automating regular operations with bots (programmed robots) that conduct ...

March 3, 2022

MicroStrategy’s HyperIntelligence is the most innovative data analysis solution to hit the market in the previous decade, and it will make you hyper smart. The gap between traditional Business Intelligence and this new notion was so wide that neither potential customers nor independent analysts like Gartner, BARC, and Forrester saw its huge potential. The breakthrough ...

February 17, 2022

For a variety of reasons, data integration is not a stand-alone project. It is dependent on and includes other aspects of modern data management such as data quality, data modeling and architecture, and so on. 1. Data Integration Introduction For successful business, modern companies are increasingly relying on commercial information solutions such as ERP, CRM, ...