Data Governance Data Transformation Metadata Reporting 
Alation
OCTOBER 26, 2021
They need trusted data to drive reliable reporting, decision-making, and risk reduction. A Strong Data Culture Supports Strategic Decision Making. Our successful customers invest in and infuse data and analytics throughout the enterprise. After all, finance is one of the greatest consumers of data within a business.
erwin
APRIL 29, 2020
These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.
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CIO Business Intelligence
MARCH 4, 2024
As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.
erwin
JANUARY 11, 2019
Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. Creating a High-Quality Data Pipeline.
erwin
SEPTEMBER 17, 2020
Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.
datapine
SEPTEMBER 29, 2022
In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 2 – Data profiling. 4 – Data Reporting.
erwin
MARCH 4, 2021
Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.
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