Using Synthetic Data to Test Algorithms in MATLAB

We have reached the tipping point where all businesses recognize they cannot compete in a digital age using analog-era legacy data solutions and architectures. The winners in the next phase of business will be those enterprises that obtain a clear handle on the foundations of modern data management fabric. The modern big data fabric helps enterprise organizations accelerate insights by automating ingestion, curation, discovery, preparation, and integration from data silos. Watch guest speaker Noel Yuhanna from Forrester and Paxata’s Nenshad Bardoliwalla as they discuss: Latest trends, benefits, and use cases of big data fabric Challenges enterprise organizations must overcome. How to deliver faster time-to-value with an. enterprise-grade self-service data preparation solution.

At its core, Data Governance (DG) is all about managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be managed without guidance? (In all likelihood, your organization has been managing data without adequate guidance and this accounts for its current, less-than-optimal state.) This program provides a practical guide to implementing DG or recharging your existing program. It provides an understanding of what Data Governance functions are required and how they fit with other Data Management disciplines. Understanding these aspects is a prerequisite to eliminate the ambiguity that often surrounds initial discussions and implement effective Data Governance/Stewardship programs that manage data in support of organizational strategy. Delegates will understand why Data Governance can be tricky for organizations due to data’s confounding characteristics.

Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need. There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.

What if you knew how to establish a strong data governance in your organization? Watch our webinar recording, and find out how CDQ's framework can support you!