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Information governance: making the most of modern data architectures.

IN THE WORLD OF IT, there is a never-ending stream of intricate steps to access, combine, update, visualize and overall massage business data as it flows in from remote, legacy or transactional systems and out through analytics and reporting. These steps are necessary to correctly return the right data to the right person at the right time. With the advent of non-structured data, these tasks become more complex and time-consuming, even with the amount of automation available to handle them. Just the size of datasets are becoming too large to handle in ways past--new storage pools, new integration styles and new methods for determining data's value now add significant learning curves to the IT world.

In order to take advantage of new data systems, modern architectures and analytic platforms available, and still return correct data at the right time, it is imperative that businesses take an "Information Governance" approach to their data. When engaging both business users and IT in the activity of determining data value, remediating data errors and establishing solid processes around data quality through the use of automation, a number of key milestones are achieved:

1. Knowledge about data and its value is collaboratively shared and managed.

2. Time and effort to identify and remediate data errors is reduced.

3. Programs and projects that depend on clean data achieve faster time-to-value.

An Information Governance approach, using a data stewardship platform as the underlying coordination and connective tissue for data and activities, enables both business users and IT to unlock the power of their data. A data stewardship platform delivers both the process and automation to help business users quickly and easily see and dissect data errors, and provides click-through rules editing and management. A platform connects all the information critical to data management, and enables IT to understand and manage complex data issues with simplified views of any data activity. It provides on-the-fly reporting configurability, saving hours and days of reporting management.

Data stewardship is a difficult task and requires underlying knowledge of data value across domains in an organization, plus expertise in managing data remediation across many business applications as well as source data systems. A myriad of tools are available for each step in stewardship tasks to remediate data errors, but independent tools require IT to install, integrate and update as necessary. A data stewardship platform reduces that number of tools into one system with automated activities such as mapping and project management, standard integration to modern data platforms and architectures, common access to data design for both business users and IT, ongoing reusability of data designs and system types, and an intuitive web interface that is easily managed by any stakeholder across the organization.

With technology becoming more and more pervasive and available through the Cloud, organizations need to address business issues such as global access to information, consolidation of remote systems and data, divestiture of identified data due to merger/acquisition activity and commonality of systems and process across a distributed workforce, using methodology that accommodates the greatest number of users with the most efficiency, while enabling fast updates that mirror the speed of business. This can only happen through Cloud systems. A data stewardship platform with content available and collaborated on through the Cloud is the answer.


The Data Stewardship Platform delivers a cohesive way to optimize data quality, migration and governance initiatives.


* Makes complex data issues simple for both business users and IT

* Reduces the number of steps and tools to achieve data quality or governance

* Provides an easy, intuitive and collaborative workspace with built-in process

* Reduces reporting workload

* Provides full visibility across global activities and projects with metrics and dashboards

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Publication:Database Trends & Applications
Date:Dec 1, 2014
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