Standardized Integrations: Data Management's Great Pivot
Little has changed in data management over the past 20 years yet there has been an explosion of the number of tools, methodologies, and trends to integrate, conform, and validate data. While groups are chipping towards a brighter future for data they have inherently introduced a considerable number of costly data management approaches to enterprises that have generally not integrated well with existing processes. Compound this with the ongoing cost to maintain this myriad of enterprise data management solutions and it’s quickly realized why executives struggle with signing off on new data management related projects. It is this reality that the data management space has been largely stagnant and standards, like ISO 8000, struggle for widespread adoption.
The answer lies within rethinking traditional siloed data management concepts and solutions by leveraging a variable-based integration framework for the enterprise which combines a multitude of data management principles and functionality. Adding in-data-stream monitoring capabilities to evaluate inbound and outbound data feeds then creates invaluable real-time metadata and tracking information like the most advance super store would diligently track inventory.
This eye opening and thought provoking webinar will discuss a spectrum of issues and effective practical strategies to achieving the vision of a holistic enterprise data management framework.
About the Author
Matt Slatner is the founder and CEO of Data Field Solutions and the Peacock Data management platform. Equipped with 20 years of data management experience across several industries ranging between mainframe to small and large systems, Matt realized a critical trend; little has changed in data management over the past 20 years. Traditional solutions require time and intensive custom development that wasn’t the most effective or cost efficient way to drive enterprise objectives. Matt’s push to create the paradigm shift within the data management space culminated in the conception and development of Peacock. Peacock was designed as a complete data management platform solution. At its core, Peacock makes the management of data and holistic comprehension of operational data processes within organizations more accessible, more connected and operationally more efficient. Peacock significantly reduces the data management noise, bringing standardization, smart automations and integrated solutions within a single data management platform.
About the Author
Robin Rappaport is the Data Quality Team Leader responsible for delivery of the Data Quality Initiative for Research Databases at the Internal Revenue Service (IRS). Her work and that of her team contributed to the IRS being awarded a Computerworld Honor and a Government Computer News (GCN) Gala Award. She has over 25 years of experience as a Data Quality practitioner. Her undergraduate degree was in Economics with Computer Science. Her graduate work was in Operations Research with a concentration in Mathematical Modeling in Information Systems. She has worked in both private (6 years) and public sectors (since June 1990). Her positions include Computer Programmer, Systems Analyst, and Operations Research Analyst.
In addition to IQ International, the International Association for Information & Data Quality, she is a member of the Institute for Operations Research and Management Science (INFORMS). She was Chairman, Individual Membership for the Washington, D.C. chapter from 1987- 1990. She was elected Secretary and served from 1990 - 1991.
Contact Robin by email at robin [dot] rappaport [AT] iaidq [dot] org
About IDQ Webinars:
An IDQ Webinar is a moderated webinar open to all, designed to serve as discussion platform for the data and information quality community. The webinars are supported and organized by the International Association for Information and Data Quality. IAIDQ seeks to engage experts with experience and expertise in the field of data and information quality.
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