Textual search and textual analysis are related, but they are not synonymous. Introduction For many years, text has been the great “black hole” of computer technology. There have been many reasons why text has proven to be such a great mystery. Text does not fit well with the high degree of structure required by a standard database management system (DBMS).
Every organization, in every industry, should adopt a data-literate culture. What does that mean? How can data literacy be socialized in existing organizations? Introduction In many organizations, data is the product. In most other enterprises, data is an essential component of operations and decision-making. Historically, the access to data has been in the hands of selected experts, such as analysts
With cyber-crime on the rise and sophistication levels escalating, educating people against the most common attacks is essential Introduction Phishing is a technique that is used to get confidential data from individuals and companies into the hands of criminals with the purpose of extracting money, cloning identities, and ruining reputations. Here are the five most common types to be vigilant
Development of a data-centric enterprise architecture requires a new approach to data management, one that respects business requirements. Introduction Moving toward a data-centric enterprise architecture also affects relationships between data stakeholders and requires rethinking the data management organization and rules. It also suggests that the integration of these changes in an enterprise architecture can be carried out according to a
Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps. Introduction Along with understanding the concepts of a data strategy, it is important to know the parts of an enterprise data strategy. Each organization should develop and follow the proven implementation steps that lead to
Organizations that want to realize the value of their data and information as enterprise assets should consider forming and sustaining an Enterprise Data / Information Management Program Office or Center of Excellence. Introduction Many organizations decide that implementing some form of enterprise information management (EIM) or enterprise data management (EDM) is a fantastic idea. They assess their current state of
There is no difference between requirements for agile projects and those for traditional projects. Therefore, the preferred phrase should be “requirements for agile projects” Agile development approaches are used currently in most software organizations at least some of the time. With the rise in popularity of agile methods, business analysts and product owners often use the term “agile requirements” to
Data and business analytics, blockchain, data science, big data management, and other trends in data management and technology will enable efficiencies in risk management and insurance for many years. Introduction In Part One of this series, we spoke of how the great volume of new data types, such as data generated by the Internet of Things, will be a catalyst
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 instead are
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
