Course 3 Lessons Engineering Capacity ManagementBackground You work for Legion Digital, a fortune 500 that recently catapulted into the top 100 companies in the world with innovative lending products primarily designed, to help grow technology companies globally. Legion Digital has diversified its product by developing a high-end mobile device called “The Roman”. The Roman is […]
Category: Coursera Course 3
Role of Data Management
Course 3 Lessons DAMA International(Data Management Association) Data Management is the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles.Definition extracted from the DMBOK (Data Management Body of Knowledge) The 11 functional areas of Data Management center around […]
Insights & Intelligence
Course 3 Lessons Value-focused definition of Actionable Intelligence Actionable intelligence is relevant, timely, accurate, and contextually relevant information that can be acted upon to produce a desired outcome or result, that provides an organization a competitive advantage over its competitors. Some features of actionable intelligence include: These features comprise the actionability of the information presented. […]
Dark Data Design Principles
Dynamic Intelligence Management
Course 3 Lessons Managing intelligence effectively can help organizations make effective decisions and obtain the competitive advantage. there are many ways to obtain a competitive advantage and managing intelligence dynamically is one of the best. In this process it is important to avoid “derivation creep.” Similar to “scope creep” in the project management discipline it […]
Standardization of Data Enrichment
Course 3 Lessons Standardizing the data enrichment process can help ensure consistency and accuracy in the resulting data. Some of the steps we can take to standardize the data enrichment process: Taking these steps can help to reduce failure. Some commonly encounter failures are: incorrect conclusions, misinterpreted data, poor messaging, missing data sets, poor guidance/requirements, […]
Design for Change
Course 3 Lessons A strategic approach to positioning yourself and organization for handling Dark Data more successfully To position yourself for success with Dark Data, you must be both PRAGMATIC and IDEALISTIC. Benefits of ULEADD There are many project and process management frameworks that have tested and have been in use through over many decades. […]
Commitment to Granularity
Course 3 Lessons Data granularity is a measure of the level of detail in a data structure. In time-series dataWe see the most opportunity for impact from data granularity in the 2nd tier (Generative Data) of Dark Data. To position yourself for success with Dark Data, you must be both PRAGMATIC and IDEALISTIC. Benefits of ULEADD […]
Dark Data Principles
Course 3 Lessons The Four Core Principles of Extracting Value from Dark Data Data is generally an engineering disciple however, Extracting value from Dark Data is more of an art that is founded on engineering and scientific principles. Being able to obtain value from Dark Data can be very difficult to do effectively. The purpose […]
