Which Of The Following Statements Is Not True About The Data Collected By Governments?quizlet

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Enterprise Information Direction (EDM) seems to be at the acme of many organizations' strategies for 2018, equally the importance of data to organizations continues to grow exponentially.  EDM plans may include modernizing an existing data warehouse to enable near real-time data, building a large information environment to support deeper analytics, focusing on and increasing digital capabilities and associated analytics, moving existing data and analytics to the deject, increasing analytics capabilities in the organization, or virtually probable a combination of these.

Data governance is a key component of EDM, and is too taking on a college level of importance.  Some of the key trends that are causing a greater demand for information governance include:

• increasing data volumes from more and more sources, causing data inconsistencies that need to exist identified and addressed, before decisions are fabricated using incorrect information
• more self-service reporting and analytics (data democratization), creating the need for a mutual understanding of information beyond the organization
• the standing bear on of regulatory requirements such as GDPR, making it even more important to have a strong handle on what data is where, and how it's being used
• an increasing need for a common business language to enable cross-departmental analysis and decisions

Regardless of the blazon of data an organisation is managing – data warehouse, data lakes, big data, etc., a stiff information governance adequacy is important.  It volition enable proactive direction of data.

For example, a fiscal institution I worked with had very poor, inconsistent customer data.  All of the customers with starting time, centre and terminal names had multiple differences, and addresses were inconsistent.  This type of situation makes it very difficult to do whatsoever type of customer analytics, from identifying cross-sell opportunities to tracking and understanding customer experience.  Information Governance tin can be a showtime step in identifying the bug, defining standards, and implementing changes in the business to align with these standards.

My prior article provided ideas on the initial phase of a information governance initiative, which is Detect.  With the right assistance, an organisation can begin data governance activities during the notice stage, which is typically a scattering of weeks, then motility right into implementation.  The detect phase should have resulted in a set of recommendations and a roadmap to follow, both for firsthand side by side steps as well as longer term considerations.  The discover phase should have also provided some clarity on the initial areas of focus, such equally:

• identifying key sources of truth and ensuring they are consistently used
• improving data quality across these fundamental data sources
• developing standard business language and a business glossary for key data sources
• enhancing organizational metadata
• developing standards and policies for data admission
• identifying concern priorities for EDM initiatives
• developing and providing data and report certification
• developing and sharing an Enterprise Data Framework to provide data visibility and alignment
• and and then on…

The actual implementation of data governance can take weeks or even months, depending upon the level of attention and engagement there is across the system.  Ane of import thing to recognize is that most successful data governance programs become role of the day to twenty-four hours processes over time.  So, as you embark on implementation, ensure that what you put in place is scalable and sustainable.

• beginning with a mission and objectives that includes the initial focus area
• get the structure and the right people in place, from executives to stewards
• plant the Data Governance charter and policies from the outset
• ensure there's visibility of decisions and progress across the organization
• implement with the goal of developing processes that can exist embedded in the day to day business organization operations
• proceed it as elementary every bit possible, with the goal of less bureaucracy and more progress

Data governance used to be a nice to have, but due to the increasing focus and importance of information and analytics, information technology's becoming a necessity that helps to drive data direction across the enterprise.

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Nancy Couture has more than thirty years of experience leading enterprise information management at Fortune 500 companies and midsize organizations. Her focus has been on enterprisewide data management architecture, data governance, data quality, information warehousing and business intelligence capabilities.

Nancy recently moved into consulting as delivery enablement atomic number 82 at Datasource Consulting, a Denver-based firm focused on delivering on all aspects of enterprise data direction.

Previously, Nancy was vice president of business intelligence at SquareTwo Financial in Denver. She and her team successfully adult and utilized active methodologies in building out enterprisewide solutions, including an enterprise data warehouse, a robust analytics and reporting environment, and integrated analytics solutions.

Before her time at SquareTwo, Nancy was vice president of information management solutions at UnitedHealth Group in Connecticut, where she developed and managed iii enterprise-level data warehouses for healthcare analytics over the class of 30-plus years. In that part, Nancy was recognized for her leadership and ability to execute innovative approaches to data management.

Nancy has presented at many conferences on data management topics over the years, owns a patent in information mapping technologies, and has published several articles for the TDWI Business Intelligence Journal. In 2007 and once again in 2015, her respective teams won the TDWI Best Practices Award in Enterprise Information Warehousing.

The opinions expressed in this weblog are those of Nancy Couture and practice not necessarily represent those of IDG Communications Inc. or its parent, subsidiary or affiliated companies.

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Which Of The Following Statements Is Not True About The Data Collected By Governments?quizlet,

Source: https://www.cio.com/article/228189/why-data-governance.html

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