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5 Principles to Simplify Lean BI:

Lean business intelligence means getting the most from your processes and implementations. Emerging tools have made an agile approach easier, but there is plenty of work to be done in terms of refining enterprise BI methods.

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Featured Blogs

Steve Miller

Lean Start-Ups, Planning and Searching

Plans are useless but planning is indispensable. - Dwight D. Eisenhower»
Jim Harris

Pondering a Big Data Philosophy

Data science roles may bridge analysis and insight»
Justin Kern

The Last Flip Phone Professional on Earth

Is there a quiet minority opting out of the smartphone tether?»
Bruce Guptill

SAP as the Poster Child for Rapid Enterprise Change

SAPPHIRE 2013 sets course of HANA, cloud»
Derek Miers

Enterprise Architects and the Inside-Out View on Value

You don't have decide between efficiency and engagement»
Art Petty

Set Your Strategy Free

Quick-hit ideas to communicate and execute on C-suite plans»
Tony Cosentino

Microsoft’s Uphill Battle with Analytics, Mobility

Hortonworks, Azure cloud help clarify Redmond's BI direction»

Do you Really Need to Embrace Analytics?

Should you worry if you’re late to the analytics party or is it not an urgent need?

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Analytics

ROI/TCO
Data Velocity: Why Decreasing Your Time to Insight Matters

Why not making use of in-memory technologies and tools that leverage the speed of data is a critical mistake

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Data Management

Enterprise Information Management
8 Risks Inherent to All Organizations

EADS Chief Risk Officer Schwager leads checklist for risk managers as part of second-annual World Risk Day

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Risk Management

Business Process Management (BPM)
The Data Quality Opportunity

Data activities associated with delivering business transformation projects should be leveraged to launch an enterprise data management initiative focused on maximizing the vast potential value of the data

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Data Quality

Enterprise Information Management
The Enterprise Data Warehouse at a Crossroads

10 Minutes with Joe Caserta, president of consultancy Caserta Concepts, on the changing but challenging role of enterprise data warehouses, and how they must evolve to meet the demand of more business users and deeper, diverse data

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Data Warehousing

Data Management

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#IMChat on Trends in Mobility

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New DATA Act, Same Standards and Transparency Push

News

IBM’s Watson Faces Biggest Human Challenge Yet: the Customer

News

CFOs Recognize Need to Adapt for Mobile, Social, Cloud

study

Social Intelligence: The New Frontier for BI

Feature

Tableau Closes High in Stock Market Debut

News

Why Your Unstructured Data is a Blessing, Not a Curse

Commentary

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DM Radio

Document This: Knowledge Management Is Alive and Well

May 23, 2013
Solutions: How to Design, Launch and Expand an MDM Program

May 16, 2013
Tectonic Shifts -- Why the Database Revolution Won't Go Away

May 9, 2013
Back to Basics: Best Practices for Requirements Gathering Basics

May 2, 2013
Get a Job! New Roles in Information Management

April 25, 2013
The Consumerization of Business Intelligence -- How and Why

April 18, 2013
When Lightning Strikes: Strategies for Cloud Integration

April 11, 2013
Why Semantics Really Matters

April 4, 2013
Things Change: An Evolving Role for the Chief Information Officer

March 28, 2013
Data Gravity and the Rise of Federated Access

March 21, 2013

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Featured Web Seminars

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Quote

“ Perfect data quality is not a prerequisite for the discovery of new business insights ”

—Jim Harris, "Galileo, the Hubble and Clear Data Insight" »

Women in BI

Claudia Imhoff discusses the biggest issues facing women in technology and business intelligence specifically, why women should enter tech careers and what women need to do to be successful in a male-dominated industry.

Analytics

Business Intelligence

Cloud Computing Exchange

Big Data Realities

Big Data versus Big Value

It is not just big data, but rather the big value that can be created by converting data into meaningful and relevant information for insight, foresight, decisions and actions

Analytic Planning

Four Steps to Achieve Returns on your Analytics Investments

It’s still the early days for data analytics in many organizations. Becoming clearer is a pathway for organizations to progress from challenges to business outcomes

Data Warehousing

Do You Need an EDW?

Here are short-term concerns and long-range realities of the data warehouse, with questions each business should be asking

Data Viz

How to Build a Business-Minded Data Visualization Strategy

Andy Rusnak discusses what to keep in mind when presenting data from advanced analytic sources

Master Data Management

Trek Sprints to Bike Data Consistency with Holistic, Team Approach on MDM

In decade leap from Wisconsin niche cycle shop to world-class biking source, Trek opts for Stibo Systems platform and data directed by in-house six-person content squad

Big Data ROI

How to Extract Marketing Insights from Big Data

Four steps for implementing an agile marketing analytics strategy that can help organizations analyze their data in order to achieve goals

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Where do young IT professionals (30 and under) obtain information to aid with daily role responsibilities and career development?

Trade publication websites	14%
Social media	23%
Vendor websites	4%
Vendor/community forums	7%
Newsletters	1%
Trade conferences/meetups	2%
RSS feeds	6%
Web search	44%

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