2011 Forecast-ying

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I had recently asked some friends from my Twitter lists for their take on 2011, atleast 3 of them responded back with the answer, 1 said they were still on it, and 1 claimed a recent office event.

Anyways- I take note of the view of forecasting from

http://www.uiah.fi/projekti/metodi/190.htm

The most primitive method of forecasting is guessing. The result may be rated acceptable if the person making the guess is an expert in the matter.

Ajay- people will forecast in end 2010 and 2011. many of them will get forecasts wrong, some very wrong, but by Dec 2011 most of them would be writing forecasts on 2012. almost no one will get called on by irate users-readers- (hey you got 4 out of 7 wrong last years forecast!) just wont happen. people thrive on hope. so does marketing. in 2011- and before

and some forecasts from Tom Davenport’s The International Institute for Analytics (IIA) at

http://iianalytics.com/2010/12/2011-predictions-for-the-analytics-industry/

Regulatory and privacy constraints will continue to hamper growth of marketing analytics.

(I wonder how privacy and analytics can co exist in peace forever- one view is that model building can use anonymized data suppose your IP address was anonymized using a standard secret Coco-Cola formula- then whatever model does get built would not be of concern to you individually as your privacy is protected by the anonymization formula)

Anyway- back to the question I asked-

What are the top 5 events in your industry (events as in things that occured not conferences) and what are the top 3 trends in 2011.

I define my industry as being online technology writing- research (with a heavy skew on stat computing)

My top 5 events for 2010 were-

1) Consolidation- Big 5 software providers in BI and Analytics bought more, sued more, and consolidated more.  The valuations rose. and rose. leading to even more smaller players entering. Thus consolidation proved an oxy moron as total number of influential AND disruptive players grew.

 

2) Cloudy Computing- Computing shifted from the desktop but to the mobile and more to the tablet than to the cloud. Ipad front end with Amazon Ec2 backend- yup it happened.

3) Open Source grew louder- yes it got more clients. and more revenue. did it get more market share. depends on if you define market share by revenues or by users.

Both Open Source and Closed Source had a good year- the pie grew faster and bigger so no one minded as long their slices grew bigger.

4) We didnt see that coming –

Technology continued to surprise with events (thats what we love! the surprises)

Revolution Analytics broke through R’s Big Data Barrier, Tableau Software created a big Buzz,  Wikileaks and Chinese FireWalls gave technology an entire new dimension (though not universally popular one).

people fought wars on emails and servers and social media- unfortunately the ones fighting real wars in 2009 continued to fight them in 2010 too

5) Money-

SAP,SAS,IBM,Oracle,Google,Microsoft made more money than ever before. Only Facebook got a movie named on itself. Venture Capitalists pumped in money in promising startups- really as if in a hurry to park money before tax cuts expired in some countries.

 

2011 Top Three Forecasts

1) Surprises- Expect to get surprised atleast 10 % of the time in business events. As internet grows the communication cycle shortens, the hype cycle amplifies buzz-

more unstructured data  is created (esp for marketing analytics) leading to enhanced volatility

2) Growth- Yes we predict technology will grow faster than the automobile industry. Game changers may happen in the form of Chrome OS- really its Linux guys-and customer adaptability to new USER INTERFACES. Design will matter much more in technology on your phone, on your desktop and on your internet. Packaging sells.

False Top Trend 3) I will write a book on business analytics in 2011. yes it is true and I am working with A publisher. No it is not really going to be a top 3 event for anyone except me,publisher and lucky guys who read it.

3) Creating technology and technically enabling creativity will converge at an accelerated rate. use of widgets, guis, snippets, ide will ensure creative left brains can code easier. and right brains can design faster and better due to a global supply chain of techie and artsy professionals.

 

 

Gartner BI and Inf Mgmt Summit 2011- 30 min One on Ones

From the land Down Under, where Gartner gathers business summit thunder.

http://www.gartner.com/technology/summits/apac/business-intelligence/index.jsp

Gartner Business Intelligence
& Information Management Summit 2011

February 22 – 23 • Sydney, AUSTRALIA
gartner.com/ap/bi

Register Now

From Information to Intelligence:

Evaluate, Execute and Evolve

At Gartner Business Intelligence & Information Management Summit 2011 you will experience a unique mix of Gartner research presentations, guest keynote addresses, real-life case studies and interactive panel discussions to provide you with a holistic view of the business intelligence and performance management landscape. Information, insight and advice are channeled through an increasingly targeted and focused approach, taking you from the high-level strategic view all the way to your specific issue.

Click here to view the full agenda or download the brochure.

AGENDA HIGHLIGHTS

teamsend


Guest Keynote Address

Future Thinking – Global Trends and Thinking that are Upending your Business

Anders Sorman-Nilsson
Creative Director, Thinque

Click here to read more about this session.

Best Practice Workshops:

  • How to Become an Effective Data Warehouse Modeler
  • Analytics – Business Intelligence and Performance Management ITScore

Analyst User Roundtables:

  • Enterprise Information Management – Focusing on What Matters to the Business
  • Sharepoint – thin edge of the wedge to the MS family
  • Preparing for the 2020 workplace

Worldwide Expertise at Your Fingertips!
Your questions on Business Intelligence and Performance Management answered. Meet the Gartner Analysts presenting at the Summit and book your exclusive 30 minute one-on-one ( lap top dance) with the Analysts of your choice.

AsterData partners with Tableau

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Tableau which has been making waves recntly with its great new data visualization tool announced a partner with my old friends at AsterData. Its really cool piece of data vis and very very fast on the desktop- so I can imagine what speed it can help with AsterData’s MPP Row and Column Zingbang AND Parallel Analytical Functions

Tableau and AsterData also share the common Stanfordian connection (but it seems software is divided quite equally between Stanford, Hardvard Dropouts and North Carolina )

It remains to be seen in this announcement how much each company  can leverage the partnership or whether it turns like the SAS Institute- AsterData partnership last year or whether it is just to announce connectors in their software to talk to each other.

See a Tableau vis at

http://public.tableausoftware.com/views/geographyofdiabetes/Dashboard2?:embed=yes&:toolbar=yes

AsterData remains the guys with the potential but I would be wrong to say MapReduceSQL is as hot in December 2010 as it was in June 2009- and the elephant in the room would be Hadoop. That and Google’s continued shyness from encashing its principal comptency of handling Big Data (but hush – I signed a NDA with the Google Prediction API– so things maaaay change very rapidly on ahem that cloud)

Disclaimer- AsterData was my internship sponsor during my winter training while at Univ of  Tenn.

 

Sugar CRM: Forrester Webinar

Analytické CRM
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https://sugarcrmevents.webex.com/mw0306lb/mywebex/default.do?nomenu=true&siteurl=sugarcrmevents&service=6&main_url=https://sugarcrmevents.webex.com/ec0605lb/eventcenter/event/eventAction.do%3FtheAction%3Ddetail%26confViewID%3D279191911%26siteurl%3Dsugarcrmevents%26%26%26

Date and time:

Thursday, December 2, 2010 11:00 am 
Pacific Standard Time (San Francisco, GMT-08:00) 
Change time zone

Thursday, December 2, 2010 2:00 pm 
Eastern Standard Time (New York, GMT-05:00)
Thursday, December 2, 2010 7:00 pm
Western European Time (London, GMT)
Thursday, December 2, 2010 8:00 pm
Europe Time (Berlin, GMT+01:00)
Duration: 1 hour
Description:
Every organization wants to improve the way they manage their customer relationships. But until recently, adding robust CRM tools to your organization was a time consuming and cost prohibitive endeavor for many resources-constrained organizations. Until Now. On December 2 join us to learn how new developments in technology like open source, cloud computing and web 2.0 – are making it easier than ever to add a top notch CRM system to your operations. 

 

This live webinar hosted by SugarCRM will feature Forrester Research, Inc. Vice President William Band, named one CRM Magazine’s 2007 Influential Leaders. Mr. Band will discuss the current state of the market, review the major trends affecting the CRM landscape, and discuss some criteria you can use to ensure your next CRM decision is the right one.

In addition, all attendees of the live webinar will receive a complimentary download a recent Forrester Wave™ Report! Register today!

Speakers:

William Band, Vice President, Forrester Research
Martin Schneider, Sr. Director Communications, SugarCRM

Who Should Attend:
VP Sales, VP Marketing, CIO’s, Head of Customer Support and other technical decision makers

Brief Interview Timo Elliott

Here is a brief interview with Timo Elliott.Timo Elliott is a 19-year veteran of SAP Business Objects.

Ajay- What are the top 5 events in Business Integration and Data Visualization services you saw in 2010 and what are the top three trends you see in these in 2011.


Timo-

Top five events in 2010:

(1) Back to strong market growth. IT spending plummeted last year (BI continued to grow, but more slowly than previous years). This year, organizations reopened their wallets and funded new analytics initiatives — all the signs indicate that BI market growth will be double that of 2009.

(2) The launch of the iPad. Mobile BI has been around for years, but the iPad opened the floodgates of organizations taking a serious look at mobile analytics — and the easy-to-use, executive-friendly iPad dashboards have considerably raised the profile of analytics projects inside organizations.

(3) Data warehousing got exciting again. Decades of incremental improvements (column databases, massively parallel processing, appliances, in-memory processing…) all came together with robust commercial offers that challenged existing data storage and calculation methods. And new “NoSQL” approaches, designed for the new problems of massive amounts of less-structured web data, started moving into the mainstream.

(4) The end of Google Wave, the start of social BI.Google Wave was launched as a rethink of how we could bring together email, instant messaging, and social networks. While Google decided to close down the technology this year, it has left its mark, notably by influencing the future of “social BI”, with several major vendors bringing out commercial products this year.

(5) The start of the big BI merge. While several small independent BI vendors reported strong growth, the major trend of the year was consolidation and integration: the BI megavendors (SAP, Oracle, IBM, Microsoft) increased their market share (sometimes by acquiring smaller vendors, e.g. IBM/SPSS and SAP/Sybase) and integrated analytics with their existing products, blurring the line between BI and other technology areas.

Top three trends next year:

(1) Analytics, reinvented. New DW techniques make it possible to do sub-second, interactive analytics directly against row-level operational data. Now BI processes and interfaces need to be rethought and redesigned to make best use of this — notably by blurring the distinctions between the “design” and “consumption” phases of BI.

(2) Corporate and personal BI come together. The ability to mix corporate and personal data for quick, pragmatic analysis is a common business need. The typical solution to the problem — extracting and combining the data into a local data store (either Excel or a departmental data mart) — pleases users, but introduces duplication and extra costs and makes a mockery of information governance. 2011 will see the rise of systems that let individuals and departments load their data into personal spaces in the corporate environment, allowing pragmatic analytic flexibility without compromising security and governance.

(3) The next generation of business applications. Where are the business applications designed to support what people really do all day, such as implementing this year’s strategy, launching new products, or acquiring another company? 2011 will see the first prototypes of people-focused, flexible, information-centric, and collaborative applications, bringing together the best of business intelligence, “enterprise 2.0”, and existing operational applications.

And one that should happen, but probably won’t:

(4) Intelligence = Information + PEOPLE. Successful analytics isn’t about technology — it’s about people, process, and culture. The biggest trend in 2011 should be organizations spending the majority of their efforts on user adoption rather than technical implementation.                 About- http://timoelliott.com/blog/about

Timo Elliott is a 19-year veteran of SAP BusinessObjects, and has spent the last twenty years working with customers around the world on information strategy.

He works closely with SAP research and innovation centers around the world to evangelize new technology prototypes.

His popular Business Analytics and SAPWeb20 blogs track innovation in analytics and social media, including topics such as augmented corporate reality, collaborative decision-making, and social network analysis.

His PowerPoint Twitter Tools lets presenters see and react to tweets in real time, embedded directly within their slides.

A popular and engaging speaker, Elliott presents regularly to IT and business audiences at international conferences, on subjects such as why BI projects fail and what to do about it, and the intersection of BI and enterprise 2.0.

Prior to Business Objects, Elliott was a computer consultant in Hong Kong and led analytics projects for Shell in New Zealand. He holds a first-class honors degree in Economics with Statistics from Bristol University, England. He blogs on http://timoelliott.com/blog/ (one of the best designed blogs in BI) . You can see more about him personal web site here and photo/sketch blog here. You should follow Timo at http://twitter.com/timoelliott

Art Credit- Timo Elliott

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Brief Interview with James G Kobielus

Here is a brief one question interview with James Kobielus, Senior Analyst, Forrester.

Ajay-Describe the five most important events in Predictive Analytics you saw in 2010 and the top three trends in 2011 as per you.

Jim-

Five most important developments in 2010:

  • Continued emergence of enterprise-grade Hadoop solutions as the core of the future cloud-based platforms for advanced analytics
  • Development of the market for analytic solution appliances that incorporate several key features for advanced analytics: massively parallel EDW appliance, in-database analytics and data management function processing, embedded statistical libraries, prebuilt logical domain models, and integrated modeling and mining tools
  • Integration of advanced analytics into core BI platforms with user-friendly, visual, wizard-driven, tools for quick, exploratory predictive modeling, forecasting, and what-if analysis by nontechnical business users
  • Convergence of predictive analytics, data mining, content analytics, and CEP in integrated tools geared  to real-time social media analytics
  • Emergence of CRM and other line-of-business applications that support continuously optimized “next-best action” business processes through embedding of predictive models, orchestration engines, business rules engines, and CEP agility

Three top trends I see in the coming year, above and beyond deepening and adoption of the above-bulleted developments:

  • All-in-memory, massively parallel analytic architectures will begin to gain a foothold in complex EDW environments in support of real-time elastic analytics
  • Further crystallization of a market for general-purpose “recommendation engines” that, operating inline to EDWs, CEP environments, and BPM platforms, enable “next-best action” approaches to emerge from today’s application siloes
  • Incorporation of social network analysis functionality into a wider range of front-office business processes to enable fine-tuned behavioral-based customer segmentation to drive CRM optimization

About –http://www.forrester.com/rb/analyst/james_kobielus

James G. Kobielus
Senior Analyst, Forrester Research

RESEARCH FOCUS

James serves Business Process & Applications professionals. He is a leading expert on data warehousing, predictive analytics, data mining, and complex event processing. In addition to his core coverage areas, James contributes to Forrester’s research in business intelligence, data integration, data quality, and master data management.

PREVIOUS WORK EXPERIENCE

James has a long history in IT research and consulting and has worked for both vendors and research firms. Most recently, he was at Current Analysis, an IT research firm, where he was a principal analyst covering topics ranging from data warehousing to data integration and the Semantic Web. Prior to that position, James was a senior technical systems analyst at Exostar (a hosted supply chain management and eBusiness hub for the aerospace and defense industry). In this capacity, James was responsible for identifying and specifying product/service requirements for federated identity, PKI, and other products. He also worked as an analyst for the Burton Group and was previously employed by LCC International, DynCorp, ADEENA, International Center for Information Technologies, and the North American Telecommunications Association. He is both well versed and experienced in product and market assessments. James is a widely published business/technology author and has spoken at many industry events

New Google Ad Planner

Dusan's User Interface challenge
Image by moggs oceanlane via Flickr

The new Google Ad Planner is really nice-seems better than old Adwords interface, though needs a UI redesign before it can complete with the clean cut slice and dice of Facebook Ad Planner.

It’s the interface, stupid that makes an Iphone sell more than the Symbian even with 90% functionality. Same reasons why Google Storage is okay but Google Prediction API gets slower liftoff than Amazon Console (now with FREE instances) – though the R interface to Prediction API sure helps.

Prediction API is a terrific tool dying for oxygen out there (and will end up like Wave- I hope not)

Sometimes you need artists as well as engineers to design query tools, G Men- and guess the Double Click anti trust rumours have quietened down enough because why the heck did double click interface integration take so loooong.

( and btw why cant Google just get into the multi billion dashboard business if they can manage ALL the data IN THE INTERNET ——they sure can do it for specific companies- – but wait-

they are probably waiting for AsterData to stop sucking thumbs ,chanting on MapReduce SQL,  MapReduce SQL nursery rhymes and start inventing NEW STUFF again (or atleast creating two product brands from nCluster (when you and I were in school together giggle)

Btw the time Google make up their mind to enter BI or wait for Aster to finish- IBM would have gulped and burped all there it is- and thats the way that market rolls.

Back to Ad s and Mad Men.

Here are some screenshots-of the new Google Ad Planner-

I found it useful to review traffic for third party websites (even better than Google Trends) and thats a definite plus over Facebooks closed dormitory world of ads.

Click on them for some more views or go straight to http://google.com/adplanner and Enjoy Baby!

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