Dark data is the cute name given to all that data an organization gathers that is not part of their day to day operations
In some ways, Dark Data is the opposite of Big Data..
I read a article under the same title some time ago, but this articles quality is much, much better. How you do this..
Shifting to a Market, Program, and Platform Organization
Its that neglected data that accumulates in log files and archives that nobody knows what to do with
I mentioned dark data in one my recent posts covering the issues withcreating Microsoft Access Daasesand withsiloed daasesin general. I have a broad definition of dark data and more expansive then some posts that Ive found
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Blogger of Social, Agile and Transformation this blog, author ofDriving Digital, and President and CIO ofStarCIO. Isaacsfull bio.
Big Data DefinedBig Data is not defined by its data management challenges, but by the organizations capabilities in analyzing the data, deriving intelligence from it, and leveraging it to make forward looking decisions. It should also be defined by the organizations capability in creating new data streams and aggregating them into its data warehouses.
All of these definitions are true, but somewhat limited. InWhat Is Big Data? The Real Challenges Beyond Volume, Velocity and Variety, I provided my definition of Big Data
Business minded, Agile CIO with strong Big Data, Business Intelligence, Search, and Social Networking . Startups and Enterprises. Father of three. Keep me outdoors
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Posted byIsaac SacolickatWednesday, April , Labelsbig dataciodata managementdata scientistin the news commentDaniyal Khatri PM
As such, my definition of Dark Data is irly expansive
Dark data is usually defined as data that is kept just in case but hasnt so r found a proper usage, or can be harvested and leveraged beyond its primary intended usage.
Dark Data DefinedDark data is data and content that exists and is stored, but is not leveraged and analyzed for intelligence or used in forward looking decisions. It includes data that is in physical locations or formats that make analysis complex or too costly, or data that has significant data quality issues. It also includes data that is currently stored and can be connected to other data sources for analysis, but the Business has not dedicated sufficient resources to analyze and leverage. Finally and this may be debale, dark data also includes data that currently isnt captured by the enterprise, or data that exists outside of the boundary of the enterprise.This basically demonstrates three conditions where data could be, but is not leveraged in Big Data analytics i It could exist in a sufficient format, but the Business hasnt leveraged it yet, ii it exists, but it is too costly to clean or process, or it doesnt exist and it needs to be captured or acquired.
Dark Data is like that furniture you have in that Dark Cupboard
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