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28 Jun, 2018
Blockchain and the Cloud: Data Storage 2.0
28 June, 2018
Martin J. Frappoli
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
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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
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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
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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
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18 Apr, 2018
Integrating Enterprise Information Management with Project Management
18 April, 2018
Michael Palladino
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
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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
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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
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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
1,331 views
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15 Mar, 2018
Concepts and Uses of Open Data
15 March, 2018
Paula R. Buchanan
More Data Geekery
The use of open data is becoming more popular. Data management professionals should develop familiarity with the concept, use, and challenges of open data. Introduction The concept of open data is not new, but its use is becoming more prevalent as the availability of sources, and the validity of those sources, grows. Problems often arise because these sources are commercially valuable or can be ag
1,429 views
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5 Mar, 2018
Improving the ROI of Big Data and Analytics through Leveraging new Sources of Data
05 March, 2018
Bart Baesens
Data Warehousing
Investing in new sources of data can help to unravel complex customer behavior and improve key analytical insights Introduction Big Data and Analytics are all around these days. Most companies already have their first analytical models in production and are thinking about further boosting their performance. Far too often, they focus on the analytical techniques rather than on the key ingredient: d
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The First Steps in Building a World Class Data Management Program
Date : 15 Nov 2018, Time : 1:00 PM, USA/Chicago
Presenter:David Marco
Registration Opens December 11, 2017.
During this webinar international speaker and bestselling author, David Marco will walk us through the key first steps needed in building a world-class data management program.
