…78% find data preparation and cleaning to be resource-intensive 83% struggle with integrating data from multiple sources 64% experience quality issues with external data Without solid Data Quality, 3 out…

…But what if the information is unreliable? If the data are erroneous, what will be the consequences for decision-making? AugmentedAugmented Data Quality aims at ensuring reliable and high quality data,…

…EDM Data Platform makes data quality practices simpler for your Data Analysts. Discover the advanced augmented data quality systems that use AI and ML: the rules are directly suggested based…

…Analysts, Data Scientists, AI/ML apps, etc.). Some are organized in data warehouse, in data mart, others are stored in data lake. It is therefore necessary to make an immediate and…

…the benefits for the organization. There are many disciplines under the umbrella term of Data Management: Data Quality, Metadata Management, Data Governance, Master Data Management, Data Integration, Data Preparation, etc….

…between technical and business users. Data Quality Insight Suggests actions to improve the Data Quality facility. Calculate quality indicators based on the control facility and execution history, performs comparisons with benchmarks. …

…they deal with Data Management tools: Data Integration, Data Quality, Data Profiling, Data Discovery, Data Masking. In both cases, a Metadata Management system should allow communication to work both ways….

…nicer editor and ‘magic’ engines for fast execution. ETL processes are a variation of Data Management, which also covers many other areas (Rule-Based Systems, Data Quality, Data Integration and Reporting,…

…metadata thus comes into practice on the basis of a metadata-driven operational model. Applied to Data Management disciplines, a metadata-driven approach means driving a Data Management system through a governance…

…overseen in an integrated “Data & AI Governance” system might be. Fig. 2 – Data & AI Governance, Metadata Model Flexibility, Dynamism The data, processes, governance model, roles, and responsibilities…