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Advanced Analytics Predictions For 2010

James Kobielus
Information Management Blogs, December 15, 2009

As we bid adieu to one decade and move into the next, it’s important to catch our collective breath and to take a quick look ahead. Here are some quick thoughts on the trends that will shape advanced analytics in the year to come. These trends will set the stage for thoroughgoing transformation of business intelligence (BI), data warehousing (DW), predictive analytics (PA), data mining (DM), business activity monitoring (BAM), complex event processing (CEP), and other key analytics technologies in the Teens:

  • Self-service operational BI puts information workers in driver’s seat: Enterprises have begun to adopt self-service BI to cut costs, unclog the analytics development backlog, and improve the velocity of practical insights. Users are demanding tools to do interactive, deeply dimensional exploration of information pulled from enterprise data warehouses, data marts, transactional applications, and other systems. In 2010, users will flock to self-service BI offerings as the soft economy keeps pressure on IT budgets. Also fueling this trend is the increasing frustration that information workers feel in the face of long backlogs on seemingly mundane BI service requests. In the coming year, BI software as a service (SaaS) subscription offerings will be particularly popular, in a market that has already become fiercely competitive. So will the new generation of BI mashup offerings for premises-based deployment, especially mashup-oriented BI tools from IBM Cognos and Microsoft.
  • User-friendly predictive modeling comes to the information workplace: Predictive analytics can play a pivotal role in day-to-day business operations. If available to information workers—not just to Ph.D. statisticians and professional data miners—predictive modeling tools can help business people continually tweak their plans based on flexible what-if analyses and forecasts that leverage both deep historical data as well as fresh streams of current event data. In 2010, user-friendly predictive modeling tools will increasingly come to market, either as stand-alone offerings or as embedded features of companies’ BI environments. Many BI vendors will add predictive modeling to their current offerings—most notably, IBM will converge its Cognos BI and new SPSS data mining offerings—with a focus on mass-market usability. By the same token, established predictive modeling vendors such as SAS, IBM SPSS, KXEN, Angoss, and Portrait Software will highlight and deepen their existing usability features, such as wizard-driven automation and interactive visualization, to speed information workers through the complex steps for building, validating, and exploring predictive models. Just as significant, in-memory BI clients—such as those from TIBCO Spotfire and QlikTech--provide an important alternative to traditional data mining tools for subject matter experts who wish to explore a multivariate data set from all angles without having to do heavy-hitting data preparation, clustering, and classification beforehand.
  • Advanced analytics sinks deep roots in the data warehouse: Advanced analytics demands a high-performance data management infrastructure to handle data integration, statistical analysis, and other compute-intensive functions. In-database analytics is an emerging practice under which those and other resource-intensive processes can be parallelized and thereby accelerated across one or more data warehousing nodes. In-database analytics enables flexible deployment of a wide range of resource-intensive functions—such as data mining and predictive modeling—to a cluster, grid, or cloud of high-performance analytic databases. In 2010, in-database analytics will become a new best practice for data mining and content analytics, in which the enterprise data warehousing professionals must now collaborate closely with the subject matter experts who build and maintain predictive models. To support heterogeneous interoperability for in-database and in-cloud analytics, open development frameworks-- especially MapReduce and Hadoop—will be adopted broadly by data warehousing and analytics tools vendors. In the coming year, we’ll also see the beginning of an industry push toward an open development framework for inline predictive models that can be deployed to CEP environments. Already, IBM and TIBCO have developed interesting, albeit proprietary, support for in-CEP predictive analytics. Clearly, in-CEP predictive analytics will be a critical component of truly adaptive BAM for process analytics.
  • Social network analysis bring powerful predictive analysis to the online economy: Before long, social networks will pervade all business and personal applications, including all mobile, broadband, and streaming media services. From an enterprise perspective, social networks are the buzz that can spell the difference between success and failure in a reputation-driven online economy. In 2010, enterprises will avidly adopt social network monitoring and marketing tools, while deploying advanced analytics to search for opportunities to better reach customers in these environments. Forrester sees 2010 as the year social network analysis truly emerges as the new frontier in advanced analytics, supporting mining of behavioral, attititudinal, and other affinities among individuals. Social network analysis thrives on the deepening streams of information—structured and unstructured, user-generated and automated—that emanate from Facebook, Twitter, and other new Web 2.0 communities. In the coming year, many vendors of predictive modeling tools will enhance their social network analysis features to support real-time customer segmentation, target marketing, churn analysis, and anti-fraud. The killer app for all this will become the real-time “next best offer” that your contact center makes from all this intelligence, or the marketing campaign you re-arrange on the fly to save it from near-failure.
  • Low-cost data warehousing delivers fast analytics to the midmarket: Though enterprises can certainly do BI without a data warehouse, this critical infrastructure platform is essential for high-performance reporting, query, and analytics against large data sets. In one of the most important BI trends of the past several years, the price of a fully configured data warehousing appliance platform has dropped by an order of magnitude and, with the development of public SaaS DW cloud services, it will continue to decline. In 2010, many data warehousing vendors will lower the price of their basic appliance products to less than $20,000 per usable terabyte, which constitutes the new industry threshold pioneered by Oracle, Netezza, and other leading DW vendors. At the same time, enterprises will see a growing range of cost-effective solution appliances in 2010, combined DW appliances with preconfigured BI, advanced analytics, data cleansing, industry information models, and other data management applications and tools.
  • Data warehousing virtualizing into the cloud: The data warehouse, like all other components of the BI and data management infrastructure, is entering the cloud. In 2010, we’ll see vendors continue to introduce cloud, SaaS, and virtualized deployments of their core analytic databases. To support flexible mixed-workload analytics, the EDW, over the coming 5-10 years, will evolve into a virtualized cloud that allows data to be transparently persisted in diverse physical and logical formats to an abstract, seamless grid of interconnected memory and disk resources that can support diverse workloads, latencies, and topologies. Massive parallelism, all-in-memory architectures, solid-state drives, and virtualized storage will increasingly revolutionize EDW environments—both cloud- and appliance-based—over this coming decade. In 2010, we will see most EDW vendors roll out pioneering offerings that offer all of these architectural innovations. However, 2010 will not be the “year of the cloud” for the DW industry as a whole, since Teradata, Oracle, IBM, Microsoft, and others will still be rolling out their initial public/private cloud platform services and partnerships. Nevertheless, the industry is moving inevitably toward cloud-based services that supplement appliances, licensed software, and other deployment options.

In developing my 2010 research agenda, I have incorporated all of these themes. I look forward to your feedback, inputs, and suggestions as we move into the new year.

James Kobielus also blogs at http://blogs.forrester.com/business_process/inf-mgmt.xml.

7 Comments

Charles P., I completely agree with your post. I have been in business analytics for close to 20 years and have seen significant innovation in providing advanced analytics to end-users. Adding to your point however, what I have not seen is more sophistication in the end-user. Until that occurs, enabling users to effortlessly "self-serve" advanced analytical applications is of questionable value.

Posted by: Steve E | January 2, 2010 9:52 AM

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Very interesting article. I agree with your comment about the trend to "improve the velocity of practical insights. " This should take us to meaningful analytics connected to business metrics/objectives.

Jeff www.emcien.com

Posted by: Jeff F | December 30, 2009 3:02 PM

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I don't know what's going to happen in 2010, but if James says so, I believe it.

-Neil Raden

Posted by: Neil R | December 17, 2009 3:38 PM

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James

You are right on the money when you talk about self service BI and putting the business user in the drivers seat.

The one point to note is that SaaS efforts by on-premise BI companies are doomed to fail. SaaS is much more than changing the premises of the hardware. If the old software was problematic on-premise, changing the premises is worse - not better. For true SaaS-ification the software has to be easy for the end user and quickly configured by non-technical users and On-demand. The TDWI Benchmark report of 2008 reported numbers as follows: Average FTE per BI team: 5, Average number of weeks to change a hierarchy: 4.7 weeks, Adding a new data source: 7 weeks. PivotLink customers experience 0-1 FTE and making common changes to the deployment is done via a self-service configuration interface with a few clicks and in minutes to hours. Cognos, BOBJ, MSTR push the same products when they do On-Demand. An example of this is Crystal Reports.com. It is the same old crystal reports software of the 90s that requires getting trained with a 600 page crystal reports manual.

True SaaS BI companies like PivotLink are doing to BI what Salesforce.com did to CRM. We have built new software from the ground up for business users, for fast changes, for secure use, for unburdening IT and for cost efficiencies.

Posted by: Ajay D | December 16, 2009 7:30 PM

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Unfortunately, you are probably right. This is what people will get, but it's not what they need.

While this may be what an advanced user would like to see, especially someone who may be selling warehousing and BI capabilities, this will simply produce more frustration on the part of those who purchase these capabilities but don't take care of certain basics, and then wonder why their marketing and decision-making haven't improved.

The business users (marketers, business decision makers) that I think you are referring to are not sufficiently adept at understanding data and inferential statistics to use advanced tools themselves. The "bottleneck" that is created by having too few analytical resources to address business issues cannot readily be automated away. Users of the information derived from impactful analyses need to partner with people who understand their business, understand their data, understand the statistical tools and techniques that will provide insights, and who understand how to transform the insights into potential business recommendations.

The problem is not in the technology. The problem is in a failure to attend to the details of creating and maintaining "good" data and in not finding the right analysts and using them to produce results that impact a company's bottom line. Bad data and automated predictive models are a recipe for disaster.

Anybody can push a button and get an automatically produced model. And it's getting easier all the time. But chances of its being useful or put to use with impact without the knowledge to produce and implement it that is derived from years of study and experience are slim to none.

Posted by: Charles P | December 16, 2009 4:03 PM

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James, thanks - I think your predicitions are correct and innovation in the market will come from a combination of the above. I also like the first comment regarding 2010 decade showing strong adoption of new capabilities from innovative vendors. Wayne Morris, myDIALS

Posted by: Wayne Morris - myDIALS | December 16, 2009 3:57 PM

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As an EDW / BI Architect & Consultant I generally concur with Mr Kobielus's observations.

My view of the market segment is this; IBM will continue to provide closer integration and more depth to the Cognos suite of products, as will SAP to the Business Objects products and Oracle to the Hyperion / Brio products. Large companies are good at integration because they have to be, small companies are good at innovation. That's where I see the next generation of Data Mining & Predictive Analytics tools coming from. I believe the innovators will have to develop semantic layers that translate business queries into Data Mining routines and Predictive Analytics will provide a forward looking view over time. Both have the requirement to sift through large volumes of data very rapidly. Data volumes will grow exponentially to support this new class of BI tools which puts pressure on the ETL vendors and the DBMS's.

In one respect the 2010 decade is looking a lot like the 1990's all over again. The 90's was the decade of rapid adoption of BO & Cognos, and this decade will see the adoption of a new class of tools & infrastructure from new, innovative vendors.

Posted by: Peter L | December 16, 2009 2:24 PM

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IBM announced a new version of IBM Mashup Center that will simplify the assembly and publishing of information across a workforce and across the Internet for consumers, constituents and customers

SOA Projects Are Moving Again

SOA is not a technology but an architectural paradigm and it is on the move again

IBM Fuses New Generation of Analytics for Deeper Business Optimization

IBM largest challenge with their software investments will be to continue to simplify them and connect with those in line of business and ensure they can get smarter solutions in the right time frame at the right price

IBM Doubles Down Again on Information Agenda at Annual Conference

At IBM Information on Demand in Las Vegas, the conference started today to introduce the latest insight to the fastest growing components of their business with analytics

Process-Centric Data Quality Services and MDM Among Top Technology Trends to Watch

The business expects high quality data, but hasn’t taken much accountability in delivering it

OpenCourseWare and BI – An Update

I revisited MITOpenCourseWare a few months ago in search of a gentle computer programming course I could recommend to those interested in BI without a strong technology background

Free Ham for $6 Per Pound (and Other Oracle Marketing Ploys)

With all the press releases emitted from OpenWorld, Larry Ellison’s $10 million IBM challenge stands out

Teradata Steps Up Version 13 into Cloud Computing and New Appliance

Teradata announced their advancement into cloud computing called Teradata Enterprise Analytics Cloud, providing a range of options for organizations to use the database technology

The Demise of the 2009 Boston Red Sox: Super-Crunching Takes a Drunkard's Walk

Since 2004, when the Red Sox rallied from three games down to beat the Yankees for the American League championship and swept the Cardinals in the World Series, the Red Sox have been New England's academic darlings, “champions” of the data-driven, predictive analytics approach to running a baseball team

Larry Ellison Stumps Oracle Exadata and Fusion Applications with California Governor

In this year’s keynote Ellison briefly discussed Linux and their efforts to drive neutrality in operating systems though they will potentially own Sun Solaris and open source version of Solaris by their acquisition of Sun Microsystems

The API is the New Network

The growing glut of Web services will increasingly flow not through browsers, but through application programming interfaces

Immature Planning Processes on Display at Oracle OpenWorld

When it comes to planning and budgeting, the gap between what’s possible and what companies actually do is still wide

Oracle Complex Event Processing Advances Operational Intelligence

At Oracle OpenWorld the focus on Oracle Complex Event Processing was quietly demonstrated in educational sessions how this dedicated technology is helping organizations

Fall 2009 OpenBI College Recruiting: Where Have All the Programmers Gone?

The demand for new college grads is still soft. This cycle reminds me a lot of 2000, when the high-flying technology consulting career choice crashed and burned, no doubt mirroring the same fate of the Internet boom

Oracle OpenWorld Sunday Night Opener Highlights Technology Game

Better than the massive defeats by the San Francisco 49ers and Oakland Raider football games in the bay area on Sunday was the opening keynote at Oracle Open World. Silicon Valley legends Larry Ellison and Scott McNealy opened up the evening

Service-Oriented Analytics: Tapping into the Predictive Smarts of Your Entire Organization

To become truly future-focused, organizations must build out their predictive muscles through deepening commitment to these and other advanced analytics technologies

Metator, Librarian, Gatekeeper, Broker

The information function in the organization is a network of the people who really know what’s going on; “They’re not organized or rewarded, yet they’re running the damn place”

Liaise Cures Business Interaction Chaos with Microsoft Outlook

It is not often that there are technologies that make you rethink your current methods of how you work and the tasks that you do constantly

HR Tech Brings New Products but HR Budgets May Limit Potential

At this year’s HR Tech in Chicago a broad range of new software products for human resources professional to address their people-related processes across a range of activities were available for HR and associated IT professionals

Improving BI Development Efficiency: Standard Data Extracts

For every operational system, a company can save hundreds or even thousands of hours every week in development and processing time

Help Wanted: Metator

As data and projects become collaborative, a metadata editor sounds like someone you’d like to have, and maybe wouldn't have to hire

CIO’s Have a Challenging Mission

It is not uncommon to expect with the downturn in the economy, that CIOs would be challenged to do more with less. IT executives are focusing on ensuring that business is conducted efficiently to get more mileage out of their budgets

The October 2009 HBR and BI – Risk Management and Performance Measurement

The October 2009 Harvard Business Review spotlights Risk Management and Performance Measurement, both significant consumers of BI

IT Analyst Firms Continue Confusion on GRC

Be forewarned that as you read analyst reports on GRC that they are a small component of what you will need to address a range of needs in the enterprise and across business and IT

SuccessFactors and Business Execution Software: Confusing or Confused?

It is up to SuccessFactors to see if they can make something of this new category and focus in business execution and what other vendors might join them

The Netflix Prize

The other day, I came across an article in the Wall Street Journal noting that movie rental company Netflix had announced a winner of the $1 million contest to improve the accuracy of its film recommendation engine

Need For A Health Care Standard for EHR and EMR

There is a need to define a standard quickly for data interchange with regards to the electronic health record and the electronic medical record

The Death of Business News Reporting

The six words above are misleading, I’m really trying to get your attention to tell you about something about business intelligence, so c’mon, click it

All Business Analysts are Not Created Equal

The majority of data issues within an operational system are data entry-related. The challenge in business analysis is to establish standard business processes to automate

Smart Analytics – The Rising IBM Tide

Having IBM seriously promote an analytics product line will help all statistics/mining vendors and provide a much-desired commercial jolt for academically-focused R

BI SaaS Vendors Are Not Created Equal

I am, slowly but surely, beginning to believe there couldn’t be a better case for demand for business intelligence software as a service -- especially after findings from a project that I am currently conducting

Resolving Content and BI

Experts say search, information extraction and text analytics can close the structured/unstructured divide; can it really be that easy?

Vertica Advances Analytics through Sophistication and Simplification

The growing volumes of data from the Internet and enterprise placing pressure to gain better insights on a more frequent basis is an issue that continues to be for business and IT

Dear Steve, Dear Eric, Dear Steve – Musings on Predictive Analytics World

I received a very nice note from Eric Siegel, PhD., Conference Chair, Predictive Analytics World last week in response to my recent blog that mentioned an upcoming PAW

In Sickness and in Health Care

Blue-sky challenges and benefits of health care data management will touch individuals and economies

Process Data Management: Like Your Brain And Your Heart, BPM and MDM Can’t Survive Independently

It's an age old question: Which came first: the data or the process? Okay, not an age old question, but an interesting one to ponder nonetheless

Synygy Simplifies Mobility of Sales Performance Management

Synygy's new set of capabilities will help organization address the sales and revenue performance priorities and drive new levels of operational efficiency in sales

HP and Informatica’s Expanded Relationship: Portent of Bigger Deals to Come?

This relationship long predates this announcement, but it could be the start of a relationship of considerable strategic importance to both partners

Head of BI Job Description

While Forrester does not have a formal description for a head of business intelligence, if I map requirements for BI best practices, here’s what I come up with

Intelligence Interruptus

I've assembled my BI-Searchers toolkit

Informatica Acquires Agent Logic and Enters Operational Intelligence Market

Logically this acquisition expands Informatica beyond data integration into event integration

Good Data Warehouse DBAs are Hard to Find

As a consultant I’m often asked about how roles and responsibilities should be delegated or identified within the IT organization to support the data warehousing

myDials Optimizing Operational Performance Like No Other

It has been some time since I advanced the definition and focus of operational performance management over eight years ago

Random Business Performance

There's a randomness to company performance that, as deftly chronicled by Leonard Mlodinow in The Drunkard's Walk, is a much more powerful force than we'd like to believe

Health Care Is Going Through an Information Led Transformation

I believe the massive stimulus package signed by President Obama in early 2009 was a catalyst to a situation that was already fraught with issues – the integration of information in health care

Is BAM Relevant In The Age Of Lean Processes?

In any dynamic business environment, the last thing you want is to indulge in navel-gazing. If you’re not adept at responding to breaking events or anticipating the future, you will find yourself marginalized in the new economy

Destroy the Web Site and Build Your Business on the Internet

Now as an entire business needs to operate on the Internet the responsibility for business and IT executive’s leadership and involvement is essential for success

Perfect Data and Other Data Quality Myths

We need to understand the variance between the data as it exists and its acceptability, not its perfection

Searching and Experimenting for Business Innovation

The rapid development of technology and expansion of the Web provide the infrastructure for promoting ever-more-rapid innovation. But what's behind this technology enablement are two themes

Resuscitating Your Dying Metadata Strategy

Here’s a question to ponder: Why do so many metadata initiatives deliver well below expectations, or outright fail?

eThority Provides Intuitive Analytics and Insights for Business

The unique aspects of eThority are the usability and interactivity, which makes their analytics more intuitive and relevant than most business intelligence products

M-Factor Provides Analytics and Planning for Trade Spending and Pricing Optimization

Consumer packaged goods companies spend enormous of time and money to optimize their penetration of brands within their relevant product categories

The Drunkard's BI – Part II

The scary part for decision-making is that the errors are both deductive - from population to sample - and inductive, from sample to population

MDM Data Quality as a Process

Weyerhaeuser keeps records up to the minute with business rules to address quality at the point of data entry

MDM: Subject-Area Data Integration

It’s important to realize that mastering data isn’t really necessary if you only have a single system that contains one copy of data

SAP and TIBCO? Too Juicy Of A BI Rumor Not To Comment On

The business intelligence implications of the rumored SAP/TIBCO merger are huge

Information Applications: New Generation of Information Technologies

The technology for information applications will continue to evolve and become one of the fastest growing software categories

The Drunkard's BI – Part I

I read what is certain to be my favorite BI book of 2009: 'The Drunkard's Walk, How Randomness Rules Our Lives'

Does Your Supply Chain Have Location Intelligence?

Most manufacturing and services organizations have driven their supply chain processes to be lean and are now looking at the means to find new methods to gain incremental efficiency

From Analytical to Transactional MDM

Cisco Systems aims at operational insight that looks at the customer experience across multiple transaction platforms

A Look at the "Nexus of BPM and Business Intelligence"

One of the more common phrases in corporate life is: 'Close the loop.' This mantra refers to completing an improvement cycle by putting into play the insights gained by analytical processes

PIM for Partners

Polycom is hoping to use product information management to shorten sales cycles in a complex, regulated global marketplace

Field Experiments and BI – Part I

Much as I love the behavioral economics gospel espoused in Dan Ariely, I'm uncomfortable with the driving methodology of controlled classroom or laboratory experiments that use MIT business graduate students as subjects

IBM Goes Deeply Predictive, Announces Acquisition of SPSS

IBM’s bold move has already sent shockwaves throughout the analytics market

The Next Wave of BI Acquisitions?

Whoever says that business intelligence market is commoditizing is smoking something funny

IBM Boldly Elevates Analytics with Acquisition of SPSS

IBM now can empower new classes of analytic solutions with SPSS that go well beyond the traditional business intelligence applications that focus only on historical data

Oracle Targets Real-Time Data Integration With GoldenGate Acquisition

This acquisition will focus on two specific areas: high availability to support data replication and migration efforts and noninvasive real-time data integration capabilities

Jobs, Process and Metrics

As business process and infrastructure outsourcing continues to trickle up in organizations, internal process owners could emerge to manage core business challenges

Potpourri Redux

A discussion about the direction of business intelligence in several fields, including economics, statistical learning and the R platform

And Now For Something Completely Different

What really impacts our business/technology careers falls into a scope greater than the sum of our expertise and skills; for those not born to a single working destiny, follow the macro along with the micro

Planners, Searchers and BI

I think the planner/searcher dichotomy is quite pertinent for business intelligence

Actuate Steps Forward to Power Information Applications

Actuate must take some credit for their work to date and be aggressive in what they can help organizations deploy easily with their existing development and technology skills

Architecture Makes Decisions Easier

When I previously referred to architecture, I implied an engineered approach to solving a complex, multifaceted issue. One issue has to do with making complex decisions about inaccessible information

Repurposing Your Data Warehouse Platform—Not!

I’ve noticed lately that data warehouse vendors are dusting off the arguments and pitches of days gone by

BI, Analytics, and CEP: Some Fruitful Potential Follow-Ons from Software AG’s Acquisition of IDS Scheer

Bet you didn’t realize that IDS Scheer has ARIS solutions in the fast growing markets of BI, analytics and complex event processing

Tricks of the Data Trade – a Blueprint for Success

Many business and IT professionals will attest to the fact that project management is the key to successful data implementations, although few data analysts will agree

Economics and BI, Part 2

Just what is behavioral economics?

Job Uncertainty Times Two

A weak job market and poorly identified roles are making life dodgy for IT information workers; don’t expect human resources to help, find the competency center and align yourself to it

CIO Strategies Require Cloud Computing

IT needs to fully engage in IT performance management and document their strategies and scenarios to determine the best effective alignment for business

Master Data and the Need for Management, Part 2

Master Data Management and Data Governance have common goals

Is CRM Technology a Legacy or Innovative Investment?

Do your existing CRM investments work well and, if you replace them, will they just be a legacy investment?

Master Data and the Need for Management

The complexity of IT systems has caused IT to become reactive rather than proactive

Big Brains, Soft Skills

As information career paths disintegrate and reform, the convergence of business and technology finds people creating their own jobs and the 'smartest' among us may be the most challenged

Economics and BI – Part 1

What good are economists anyway?

Different People Need Different Info…

Different business audiences require varying intelligence needs and focus

Sun and Oracle:

The recent acquisition of Sun by Oracle has raised a lot of speculative discussion about the latter vendor’s strategic pursuits

CDI: Rubber Meets Road

At MDM Summit in Toronto, random pearls of wisdom from Ed Unrau at Canadian Tire Financial Services

Bogle for BI

I periodically revisit Bogle's wisdom not only to affirm my investment approach but also as a guide for BI

BI SaaS Vendors Struggle to Survive and Some Do Not

The market for BI might seem rosy for most in the industry. While some analyst firms predict significant growth, most of us who have been in the industry for decades know a different reality

What Really Is Business Intelligence?

A corporation loses money every time it delays getting information into the hands of decision-makers

Intelligent Education

BI can learn a lot from education and other not-for-profit programs for its mission to assess the performance of business

Are Your Customer Metrics and Business Intelligence Good Enough?

As I have dug into improving customer satisfaction, the question I ask myself is that although this seems like a laudable target, is it really?

Will Google Gobble Web Analytics?

The short answer is yes and it's surprising the titan of search hasn't done so already

Information Builders Rocks Nashville with Business Intelligence and More

At the Information Builders 2009 Summit in Nashville music and technology came together to present innovation and practical use of BI and information-enabling technologies

The Hawthorne Effect – or Not

I was pretty distraught over a column I recently read in the Economist. The article, Light Work, challenges the legacy of the Hawthorne effect

MicroStrategy’s Big Picture

With official release of free reporting suite, the BI vendor offers a clever reverse consolidation path for customers

BI Mashup Maturity Model? Oxymoron? Au Contraire Mon Frère!

Forrester has developed a maturity model for enterprise adoption of mashup-style, self-service development of business intelligence applications

No Data Warehouse Required: BI Reporting Extends Its Reach

The dirty little secret in most companies is that the BI reporting team has morphed into a de-facto enterprise reporting team

IT Should be an Enabler to the Business

Let’s start with my basic opinion: IT is not the business, it is an enabler

Analytical Designs for BI – Part 2

Quasi-experimental studies attempt to control potential confounding variables by clever design techniques and statistical adjustment

Coca-Cola Goes Freestyle

RFID-powered vending machines that let customers mix their own water, juices and sodas hoped to provide data for new product introductions

SPSS: Analytics Force in Customer Experience Management

Behind a fairly generic name is SPSS's new version of their enterprise feedback management technology, which in my opinion is one of the key supporting technologies providing customer feedback management

Pitney Bowes Introduces Portfolio of Business Insights Technology

After a day behind closed doors with executives I got a deeper appreciate for the portfolio of technologies today and in the future

When Will Eco Apps Go Mainstream?

Examples of transaction and performance management based systems to manage Eco Footprint are showing up in Europe; vendors will be ready to deliver products stateside as regulations call for

Analytical Designs for BI – Part 1

I must admit I'm obsessed with BI designs for business performance measurement

Database Religions Dissolve Into The Big Billowing Virtual Data Cloud

Virtualization is a venerable old computing concept that has achieved new life in recent years

Convergence of SOA and BI

The IT community has sensed a need for consistent terms. I propose we start a process to keep us all sane and volunteer to head the IEEE, ANSI or other committee

Things I Need to Do My Job

The tyranny of technology moves slowly and leaves the best bits behind for a longer run than people appreciate

Social Science Statistics Blog and BI – Nonrandomized Experiments

I came across an intriguing blog entry that raised issues pertinent to business and business intelligence

The Rise of the Columnar Database

The more this space matures, the more evident it becomes that analytics is a perfect match for column-based database architectures

Quantitative Social Science and BI

I find the intersection of the social and quantitative sciences of particular interest – and pertinence for BI

Information Post-Discovery - Latest BI Trend

This is yet another proof – and I’ll never get tired of saying this – that BI market is as vibrant, exciting and far from commoditization as ever

BI Search is Back (and Better)

Molson Coors has been testing SAP’s Business Objects Explorer release and they really like it

MDM and M&A

Corporate restructuring isn’t just a financial challenge. It includes realignment of marketing activities, sales and operational issues

Imagine How the Business Feels

A service-based architecture requires information abstraction using metadata, whereas Web services do not use common metadata

Bundled BI Bargains

Have a closer look at how consolidation and product maturity are paying off now for businesses with stalled IT budgets; you may already be a winner

Bayes and BI

The current ascendance of Bayesian analysis in the statistical world is, I believe, a boon for BI

Self-Service Business Intelligence Depends On Automated Data Discovery

The ball’s in IBM’s rivals’ courts regarding whether, when and how they plan to add automated source discovery to their BI portfolios

OpenBI Travels II: R/Finance 2009, Chicago

I received an email from Mike Driscoll, co-chair of the Bay Area R Users Group, announcing the formation of three new groups – Los Angeles, New York and Ottawa

AARP Says I’m Special

Just another data quality failure from the annals of direct marketing, or am I missing the point?

Confusing Business

We in IT struggle with understanding the business – or is it the business that struggles with explaining themselves (and their needs or requirements) to IT

Missing Out due to Travel Restrictions?

Corporate travel budgets have been slashed, but what are the long-term effects of less opportunity

OpenBI Travels I: MySQL Conference and the Oracle Acquisition of Sun

There was no shortage of strong reaction at the MySQL conference to the acquisition of Sun. Open source purists were incensed

Make the Whirl Go Away

What’s really going on with advances in solid-state disk drives and how far will it go?

Oracle’s Sun Acquisition Accelerates Push Into Data Warehousing Appliances

Oracle is acquiring longtime partner Sun Microsystems, putting the software powerhouse fully into the hardware business - and hitting the DW industry like an earthquake

Your Company’s Data Supply Chain

We’ve been talking for several years about the concept of a data supply chain. But IT executives are only now starting to catch on to its importance

Free BI is Still No Free Lunch

There are few truly zero cost alternatives to BI tools, but there are some

More Statistical Learning

The Elements of Statistical Learning: Data Mining, Inference and Prediction, Second Edition, by Trevor Hastie, Robert Tibshirani and Jerome Friedman is now available

What About Architecture Anyway?

Confusion about services-based architectures has been created by a number of industry elements

Architecture as an Asset

We need to consider enterprise architecture not as a hindrance, but as an asset to the IT organization and to the business that we are enabling

Dislocation Intelligence in a Brutal Economy

We as a country should try to smooth over these economic dislocations so that they don’t completely wipe some places off the map

The R Statistical Learning Lasso

The R user community had just been provided access to a latest learning algorithm hot off the development presses from three world-renowned practitioners – for free

Health Care Industry BI Groundhog Day

On my way back home from www.himss.org show in Chicago, I have a creepy feeling of déjà vu. Even worse, it feels like the movie Groundhog Day where the main character keeps waking up on the same day, same date, never able to get to tomorrow

Blurring the Line Between SOA and BI

I recently read an article in the Microsoft Architect Journal on so-called service-oriented business intelligence or, as the article’s authors call it, SoBI

Performance Goals and Compensation

Why business rarely ties outcomes to job success for managers, and, if the New York Yankees are baseball’s AIG, why don’t we hate them?

Data Vu All Over Again

No sweat I thought. We’ve honed our expertise on open source BI in the cloud. We’ve performed this drill several times already. Alas, not so fast ...

Inmon’s Vitriolic Slap At “Virtual Data Warehousing” Does Not Withstand Scrutiny

Bill Inmon treats data federation as mutually exclusive from enterprise data warehousing, when in fact they are highly complementary approaches

Gathering of Clouds

With hype contained, developments in cloud computing are on display at conference

The Divine R

A colleague recently asked me for a good introductory text on the R statistical computing platform. Though there are a seemingly endless number of published books on R, I recommended a personal favorite

Not MDM, Not Data Governance: Data Management

Has everyone forgotten database development fundamentals?

Hypothesize/Experiment/Learn/Nudge

Nudge is a concept derived from behavioral economics. It denotes a gentle “push” or incentive to coax decision-makers to choose a preferred option from a series of alternatives

Basketball Diaries

Lessons from the NCAA tournament coverage; don't drop the ball on Web content management

After So Many Years Of Ballyhoo, Semantic Web Still Searching For Killer App

Cynics might call Semantic Web a technology looking for a solution. And they might have a point

Lean Information Management Strategies for Lean Times

When the going gets tough, the tough get lean, focused, and flexible. To help organizations survive the bad times and thrive in all climates, their information management initiatives must remain agile and adaptable

Are There BI Implications In The Rumored IBM/Sun Merger? You Betcha!

I always predicted that Open Source BI has to reach critical mass before it becomes a viable alternative for large enterprise BI platforms

Hypothesize/Experiment/Learn

I’ve subscribed to the Harvard Business Review for years. It seems there are either several articles pertinent for BI or none at all. The February 2009 edition was the former

Enjoy the Chicken (and then Get Back to Work)

Reflecting on a conference, same as it ever was and still relevant

Yawn! Business Process Visions Consistent Over The Years

A couple of nights ago, I found my handwritten notes from 1997, summarizing a literature search I was doing at that time while authoring my first book, the IDG Books title “Workflow Strategies.” Reading the prettier handwriting of a 12-years-younger Jim Kobielus, I was struck by how little has changed since then

The Flaw of the Hub-and-Spoke Architecture

I recently talked to a client who was fixated on a hub-and-spoke solution to support his company’s analytical applications. In the world of software and data, the one thing I’ve learned is that there are no absolutes. And there’s no such thing as a universal architecture

Planning for Predictive Models – Wisdom From Regression Modeling Strategies

The following are nuggets of wisdom from RMS for planning/executing modeling studies, along with a statistical blogger’s commentary

Riding the Content Technology Train

You’ll know content vendors at a glance with this clever subway map; also, Skittles turns Web site over to those crazy social networkers

BI Nirvana

I had an amazing client experience. I searched long and hard for a client with flawless, 100 percent efficient and effective BI environment and applications. Imagine my utter and absolute amazement when I stumbled on one

Rattle Redux and Predictive Analytics World Potpourri

As I mentioned in last week’s blogs, I was pleasantly surprised by version one of Predictive Analytics World, finding it quite useful on a number of levels. Today, I offer a few final observations on the conference

Retrospect or Hindsight

Why we're bad at benchmarking BI failures

Predictive Analytics World – Methodology and Business Learning

Steve Miller's thoughts his trip to Predictive Analytics World

Learning from the Black Swan

Nassim Nicholas Taleb was right. The world financial system was devastated by unpredicted catastrophes of grand proportion – a financial black swan

Whatever Happened To EII?

Some integration approaches developed into multibillion dollar standalone markets. But others, while valuable, haven't survived as well. EII is one example

What, If Anything, Is A "Niche Vendor," Where Enterprise Data Warehousing Is Concerned?

No matter how carefully one words a report, there is always the potential for misunderstanding

SOA Mandates Data Management

Everyone thinks that SOA is an integration framework. In fact it’s a means of remotely accessing other systems and their related information without having to know the details

Kickin IT Old School

Goes around, comes around; back office meets its match in tech-savvy users

Operational BI From the Trenches

As with any other current buzzword, the world seems to be piling on and the meaning of operational BI seems to be is evolving (or eroding)

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