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
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
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
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 –
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
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
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
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
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
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
