There's a lot of talk these days about how to streamline the data supply chain. And the discussions often boil down to how to control an organization's data and how difficult and time consuming it is for business users to access it. As I wrote recently for DataInformed, highly structured systems for managing data like master data management (MDM) and enterprise data warehouses (EDWs) put a kink in the data supply chain.
A splash of data used to be all you needed to get attention. Today, data-smart audiences want much more: detail, what-if scenarios, and deep, multi-sourced data for any questions they may have. They also want to see your work, from initial questions to final insights.
Smart organizations know the data they collect provides a wealth of insights that can help them meet the needs of their customers and drive competitive differentiation. But data today is a beast, coming from ever increasing sources and in a wide variety of formats.
As the Big Data and analytics parade marches on, I often find that the people we're talking to in large enterprises carry the title chief data officer or CDO. Industry analysts back this up. A 2015 report by PwC found there were 100 CDOs in large enterprises in 2013, more than double the number in 2012. Gartner's most recent tally pegs the number at 950.
Business analysts and line-of-business (LOB) data users have plenty of robust, self-service BI tools at their disposal. What they often lack is a way to get all the most relevant data into those tools. In a TDWI Checklist Report, Dave Stodder, Director of TDWI Research for Business Intelligence, lists seven best practices for executing a successful data science strategy. Number five: Give Data Science Teams Access to All the Data.
Some Attivio folks flew to the annual Gartner BI event last week to take the pulse of Business Intelligence, data discovery, and data democratization. We wanted to hear the latest from Gartner thought leaders and the several thousand data practitioners. In the opening keynote, there were 5 key takeaways. I’d like to zero in on numbers 2 and 3.
In a recent blog post about data exploration, Forrester's Boris Evelson discusses Tableau's recent acquisition of HyPer. He notes that HyPer addresses Tableau's previous lack of in-memory data exploration capability.
According to the latest evidence, The US Treasury estimates that over $300 billion in money laundering flows through casinos annually. The two leading sources of funds, fraud or drug trafficking, account for just over $64 billion alone. Recently, officials at the federal Financial Crimes Enforcement Network (FinCEN) – the agency responsible for monitoring casino operator compliance with the Bank Secrecy Act of 1970- have stepped up their AML compliance rhetoric and activity. And they’re not alone.
Occasioned by the announcement of a consent order with Florida bank Gibraltar Private Bank and Trust, the Office of the Comptroller of the Currency (or, OCC) announced two significant updates to its policies and procedures for calculating civil money penalties for non-compliance or persistent, uncorrected BSA/AML compliance. The OCC took the opportunity to call-out failures in the Gibraltar response to earlier orders - setting clearly tougher expectations for under-performing or unresponsive compliance programs.