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RWDG Slides: Big Data & BI Analytics Require Data Governance

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This presentation was given in a live webinar on July 16, 2015 RWDG Webinar: Big Data & BI Analytics Require Data Governance from DATAVERSITY To view the On Demand recording of this webinar, click HERE>> About the Webinar Business Intelligence (BI) used to be equated to Data Warehousing. In this day of Big Data and…

PII – It’s Not a Greek Fraternity or a Math Symbol

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by Cathy Nolan Buzzing around the fringes of Data Security and ready to sting your organization is the acronym, PII. According to Wikipedia, personally identifiable information (PII), or Sensitive Personal Information (SPI), are used in US privacy law and information security, and is information that can be used on its own, or with other information, to identify, contact, or…

Data Governance Provides Guardrails for Enterprise Data

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by Angela Guess Writing for Business2Community, Julie Urban recently stated, “Rob Karel, Vice President, Product Strategy and Product Marketing, Information Quality Solutions at Informatica, weighs in on the benefits having a data governance plan as part of an overall business strategy. ‘The value of having a plan around data governance, no matter how big or…

Master Data Management is a Crucial Layer of Enterprise Analytics

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by Angela Guess Prash Chandramohan recently wrote for Computer World, “The trouble with insight is it doesn’t just pop out of data. It takes intelligence and an understanding of the business, combined with the ability to identify useful relationships between customers, their relationships, locations, products and social interactions. Once you are able to connect these…

Will Data Governance Survive A GREXIT Threat?

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by Ian Rowlands As I write, just after mid-day, New York time, on June 30, 2015, we are less than 6 hours from Greece missing a payment of $1.6 bn to the International Monetary Fund. The IMF says it’s going to describe Greece as being in arrears, rather than in default. Pretty much everyone else…

Data Enemy No. 1: No Longer Apathy, But Fear

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by Angela Guess Thomas C. Redman recently wrote in Jim Harris’s OCDQ Blog, “I began work on data quality in the late 1980s at the great Bell Laboratories. We worked in partnership with a couple of AT&T groups and made rapid strides. The AT&T groups that applied our methods made order-of-magnitude improvements and, in so…

Do You Need a Data Wrangler or a Data Shaman?

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by Angela Guess Yves de Montcheuil recently wrote for InfoWorld, “Many organizations, drowning in incredible amounts of data, have been unable to reap the benefits that were expected by executive management, and the data scientist was the person who was supposed to make it happen. However, as big data is now past this peak of…

Transforming Your Business with Master Data Management

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by Angela Guess Ashley Stirrup recently wrote for Information Management, “[Master data management] enables executives to take ownership of the data that fuels their critical data-driven processes and delivers a comprehensive picture of meaningful data insights across the business. There are a few specific ways MDM can be used to build a business. They include:…

The Data Life Cycle in 7 Phases

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by Angela Guess Malcolm Chisholm recently shared his take on the data life cycle in Information Management. He writes, “This is one attempt to describe the Data Life Cycle. It takes the position that a life cycle consists of phases, and each phase has its own characteristics. Einstein, when he was a teenager tried to…

Data is Immortal, but Not Immune to Decay

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by Martin Doyle Data exists in a dangerous state of near-non existence. Few businesses would risk not having backups in place. With cloud computing becoming commonplace in enterprise, we’ve come to accept that our data will be replicated and stored in duplicate. Even data that is intentionally deleted can often be recovered. When Yahoo! purchased…