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Outsourcing, Off-shoring and Near-shoring – what works or doesn't for BI & DWH

May 14, 2012 by Shaughn Knight
with 57 views
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Well, the unique selling point of any outsourcing vendor is their customer testimony. The published customer testimonial will show you only an ideal picture of the vendor’s perfection and not the failed projects. Practically failed projects of a vendor are tough to be identified. [read more]

10 Don’ts for Delivering Mobile Business Intelligence

April 24, 2012 by Lachlan James
with 335 views
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With all the major vendors and analyst firms espousing the growing importance of Mobile Business Intelligence (BI) and touting its potential benefits, it might seem like mobile reporting and analytics is the silver bullet that the BI industry has been waiting for – a cure to sluggish user adoption rates, elusive ROI and persistently poor decision-making. Unfortunately, Mobile BI is not to analytics what Penicillin is to bacteria. Like any other major project, a Mobile BI deployment has to be carefully planned and managed in order to yield desirable results. So, to avoid disappointment and project derailment, remember these 10 Mobile BI no nos: [read more]

Gartner says predictive analytics are the hot BI topic.

April 23, 2012 by Doug Lautzenheiser
with 349 views
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Rita Sallam, BI analyst for Gartner, says that the use of predictive analytics software will be pervasive by 2020. By pervasive, she means that three-quarters of all users will have access to predictive functionality. Today, that figure is less than one-third, while Sallam expects it to grow to half of the users in the next two years.“... [read more]

20 Years of BI

April 16, 2012 by Doug Lautzenheiser
with 158 views
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Our real problem as adults may be that we don't interact with novelty the way we did as children. Back then, when we found something new, it was exciting to us and we took time to play with it. But now as adults, we don't bother to slow down to intentionally reflect on the impact of this new big thing. [read more]

“Something is not Right!” – Don’t Ignore Your Gut When Analyzing Information

April 9, 2012 by Mike Urbonas
with 142 views
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What the classic children's book "Madeline" has to do with analyzing, and questioning, information - and how to avoid a corporate culture that over-emphasizes hard data to the point of employees feeling compelled to ignore their 'gut', their intuition, that something is not right. [read more]

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Big Data: A Kick in the Business Intelligence Expert’s Habits

April 6, 2012 by Michel Bruley
with 478 views
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No definition has emerged and speeches about Big Data mix many things: overall volume of data to be processed, the volume of the elementary data (web log, text, sensors networks, photo, video), data types (structured, unstructured, multi-structured) and analytical ambitions (going beyond BI), etc. [read more]

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Location Intelligence and Mobile BI: Advancing Data Analysis in the Healthcare Industry

April 4, 2012 by Lachlan James
with 327 views
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AlexanderZam/shutterstock.com

Many healthcare providers and administrative bodies have began using BI tools to unlock actionable information within their data sets and achieve higher standards of care, and better medical outcomes, in the face of tighter budgeting, increasing costs and tough regulatory environments. You’ve been considering a BI deployment, but are uncertain about the key metrics or functions that you should analyze and report on... [read more]

The Fallacy of the Data Scientist Shortage

April 1, 2012 by Neil Raden
with 1,164 views
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Photo by justgrimes via Flickr

The shortage of data scientists to handle big data is overblown. Much of these activities are currently practiced, albeit without Hadoop and some other recent innovations. But the simple truth is that even data scientists spend a good portion of their day doing things that can be done by others. In addition, the demand for data scientists is hardly even across industries and those that require these skills already have them or know how to get them, either through employment, 3rd party analytics providers, purchased apps or consulting. [read more]

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Location Intelligence and Mobile BI: Advancing Data Analysis in Retail

March 28, 2012 by Lachlan James
with 441 views
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You’re an area manager for retail conglomerate CheapStuff. The northwestern sector of your region is underperforming. The situation demands your personal attention – and a visit. Luckily, you can take all the location-based information you need with you on your smartphone – your Business Intelligence (BI) solution has integrated Location Intelligence (LI) and mobile reporting capabilities. So, what can a BI platform, encompassing LI and mobile analytical capabilities, bring to a retail organization’s critical business processes and operations? [read more]

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From Complexity to Simplicity in the Cloud

March 21, 2012 by Paul Barsch
with 103 views
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The inner workings of cloud computing can be quite complex. That’s why the founders of Dropbox are on the right path—make cloud computing as simple as possible with easy to understand user-interfaces to mask “behind the scenes” infrastructure and connections. [read more]

Top 14 Business Intelligence predictions for 2012

March 1, 2012 by Lachlan James
with 2,536 views
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Don’t confuse continuity for laziness. On face value, rehashing events already transpired as ‘predictions’ may create the appearance of lethargy. But, it seems that many emergent themes from the 2010/11 Business Intelligence (BI) scene will dominate 2012, having now developed into significant market-shaping trends. [read more]

Converting Data into Decisions

February 21, 2012 by Bill Brydges
with 543 views
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It’s the era of big data. Companies are inundated with data within and outside their enterprises, and it’s critical that the tools and processes are in place to get this data to the right people at the right time to make important business decisions. To ease the flow of information from various sources to business users, companies continue to make large investments in business intelligence solutions. However, too much time and effort is spent collecting and analyzing data, indicating that the full value of BI has yet to be realized. MorganFranklin Corporation recently conducted a BI survey and asked participants to share their thoughts around priorities. Survey respondents came from a wide variety of industries in the public sector, financial services, telecom, and professional services. This post shares results of that survey. [read more]

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Business Intelligence – The Power of Human Emotion

February 15, 2012 by Leena Kamath
with 373 views
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Photo by Dimitris Kalogeropoylos via Flickr

2011 was noted as the year that demonstrated the “power of the human emotion.” It was the year where human emotion exhibited itself through mediums that go beyond satisfaction surveys. Here are a sample pick of my favorite emerging business -- technologies in the areas of Business Intelligence and analytics! Read on... [read more]

Gartner BI Summit 2012: The yin and yang of business and IT on the agenda

February 14, 2012 by Bime SaaS Business Intelligence
with 197 views
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As was to be expected from a Gartner event there were plenty of statistics reflecting the state of the BI industry. One we found particularly interesting was that in 2012 30% of businesses will be fed by data from outside of the business and by 2013, 15% of BI deployments will combine collaborative BI and ‘social’ applications, “those who achieve this will be the winners” [read more]

Business Intelligence Connectivity: Empowering Employees and Organizations

February 13, 2012 by John Blatche
with 212 views
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Business organizations and for-profit enterprises have embraced a more dynamic approach in engaging employee productivity. Earlier, when common technologies like smart phones and tablets hadn’t yet shook the core foundations of day-to-day business organizations, businesses relied on employees to come at work and produce. The next day... [read more]

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Big Data, Unstructured Information Analysis is More Than Sentiment.

February 6, 2012 by Luca Scagliarini
with 943 views
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Unstructured information is a significant part of the Big Data phenomena but automatic sentiment analysis is less than the tip of the iceberg for how to strategically use Big Data. [read more]