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The 10 Essential SaaS Trends You Should Watch Out For In 2020

Data Pine

When SaaS is combined with AI capabilities , it enables businesses to obtain better value from their data, automate and personalize services, improve security, and supplement human capacity. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer.

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

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The Complete Guide to Reverse ETL

Astera

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.

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It’s Essential – Verifying the Results of Data Transformations (Part 2)

Dataversity

Data transformations require complex testing due to their sophisticated logic, computations, and dependency on real-time data streams.

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How to Bridge the Skills Gap With Automation for JD Edwards

Insight Software

While many finance leaders plan to address the skills gap through hiring and employee training and development, a significant percentage of leaders are also looking to data automation to bridge the gap.