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3 Aug, 2018
Data Quality Heroes
03 August, 2018
Bart Basens
Best Practices
Every organization needs a set of roles that are responsible for managing the quality of the data and metadata that are used in the enterprise’s operations and analytics. These roles are the “data quality heroes.” Introduction Data management entails the proper management of data as well as the corresponding data definitions or metadata. It aims at ensuring that data and its metadata are of
353 views
18 Jul, 2018
Observations on Enterprise Information Management
18 July, 2018
David Marco
Strategy & Roadmap
The concept of enterprise information management includes all the disciplines that allow an organization to manage data and information as assets for a variety of purposes. Introduction Enterprise information management is one of the hottest topics in information technology (IT) today. Many metadata management efforts have gone well beyond the scope of data warehousing / business intelligence and
436 views
28 Jun, 2018
Blockchain and the Cloud: Data Storage 2.0
28 June, 2018
Martin J. Frappolli
More Data Geekery
A shift in technologies will expand traditional methods of data generation, data storage, and data analysis capabilities that will reduce friction and costs, while streamlining processes in many data-intensive industries like insurance. Introduction Part One of this series presented topics about the great volume of new data types, such as data generated by the Internet of Things (IoT), and how tha
357 views
17 May, 2018
Data Strategy Concepts
17 May, 2018
William B. Jenkins
Strategy & Roadmap
Every organization needs a data strategy to develop and use the value of its data and information assets. Developing a data strategy requires executive commitment and perseverance to an enterprise view of data’s capabilities. Introduction If you speak with many CEOs, most will tell you they firmly believe data is a valuable corporate asset, which, if used properly, can deliver increased insigh
1,125 views
9 May, 2018
Managing Stakeholders
09 May, 2018
Dagmar Anne Cole, CBAP
Business Analysis
The Business Analyst meets with stakeholders, but does the Business Analyst manage stakeholders? The successful BA should engage in stakeholder management to ensure the correct user provides requirements. Introduction A stakeholder is an individual who has an interest in your application and provides requirements, processes, or other information. The Business Analyst (BA) has the sometimes dif
355 views
4 May, 2018
Foundations of Data Science
04 May, 2018
Anne Marie Smith, Ph.D.
More Data Geekery
Data manipulation, analysis and data management combine with scientific methods, processes, and systems to extract knowledge or insights from large amounts of data Introduction The phrase "data science" is akin to the proverbial elephant and the eight blind men - each one imagining what an "elephant" is by what he feels in the small area to which he has access. For some, data science is statisti
481 views
18 Apr, 2018
Integrating Enterprise Information Management with Project Management
18 April, 2018
Michael F. Palladino, PMP
Project Management
Integrating the components of enterprise information management into a project centric organization can be challenging, but it is essential for successfully using data as an asset. Introduction One the challenges with implementing Enterprise Information Management (EIM) is integrating and gaining traction in a project centric organization. For companies with a more formalized Project Management
657 views
11 Apr, 2018
Data Drives the Digitization of Insurance
11 April, 2018
Martin J. Frappolli, CPCU, FIDM, AIC
More Data Geekery
Data generated by The Internet of Things is having a major effect on insurance companies’ approaches to enterprise data management Introduction Even before the use of computers, data was at the heart of the insurance business. Unlike other enterprises that sell a tangible product, insurers sell a promise. In exchange for your premium dollar today, the insurer promises to pay for your future co
750 views
29 Mar, 2018
Ensuring Speed, Flexibility and Agility with Self Service Analytics
29 March, 2018
Patricia L. Saporito
Data Warehousing
Introduction Today’s digital world and fast paced business environment demands pervasive, timely analytics. Organizations must deliver speed, agility and ease of use for data access and analytics. In response, business intelligence (BI) and analytics teams are shifting to a more agile, self-service model that enables greater user access to data and the ability to create and perform individualize
638 views
23 Mar, 2018
Enterprise Architecture Defined
23 March, 2018
Samuel B. Holcman
More Data Geekery
Samuel B. Holcman An enterprise architecture (EA) is a series of conceptual blueprints that defines the structure and operation of an organization to enable strategic progress. Enterprise Architecture (EA) explicitly describes an organization through a set of independent, non-redundant artifacts, defines how these artifacts relate with each other, and develops a set of prioritized, aligned initiat
1,734 views
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