Post-conference seminar with Wayne Eckerson and Cindi Howson

Want to get the most out of the gurus while they’re in Oslo? Would you like to have a deep-dive seminar with BOTH keynote speakers? Attend the GOBI post-conference seminar on June 11th.

Secrets of Analytical Leaders: Insights from Information Insiders Wayne Eckerson, Principal, BI Leader Consulting

How do you bridge the worlds of business and technology? How do you harness data for business gain? How do you deliver value from BI and analytical initiatives? Based on Wayne’s book, “Secrets of Analytical Leaders: Insights from Information Insiders,” this session will unveil the secrets to success of top BI and analytical leaders from companies such as Zynga, Netflix, US Xpress, Nokia, Capital One, Kelley Blue Book and Blue KC, among others. The session will cover both the “soft stuff” of people, processes, and projects and the “hard stuff” of architecture, tools, and data required to create and sustain a successful BI and analytics program.

You Will Learn:

• How to organize a BI and analytics team for optimal performance

• How to deliver value quickly and earn credibility among business sponsors

• How to translate insights into business impact

• How to create and deploy analytical models

• How to create an agile data warehouse

BI Market Update and How to Choose a Visual Data Discovery Tool Cindi Howson, founder of BI Scorecard

As the face for the data warehouse, the BI tool is the most visible component to business users. BI tools continue to evolve to be more appealing, to reach new classes of users, and to speed the time to insight. At this session, BI tools expert Cindi Howson will offer strategies for managing your BI tool portfolio. She will highlight recent trends, the state of the market, differences in core modules, with a focus for selecting and deploying the right tool for the right user. The second half of the seminar provides an evaluation framework for evaluating dashboards and visual data discovery tools.

You Will Learn:

• State of the BI tools market and key trends

• State of BI standardization, motivations and challenges

• User segments, use cases, and tool positioning

• Differences in core modules

• Dashboard and visual data discovery use cases

• Strengths and weaknesses of leading products

The post-conference seminar is open for both GOBI-participants and others. Attend both GOBI main event and post-conference seminar and get discounts.

The post-conference seminar will take place at Dronning Eufemias gate 16, Bjørvika (Visma-bygget), on June 11th.

Agenda:

0800-0830: Registration
0830-1200: Wayne Eckerson: Secrets of Analytical Leaders: Insights from Information Insiders
1200-1230: Lunch
1300-1630: Cindi Howson: BI Market Update and How to Choose a Visual Data Discovery Tool

TICKETS AVAILABLE SOON!

Check out GOBI website www.gurusofbi.no for tickets.

BI-konferansen GOBI

BI-konferansen GOBI arrangeres for første gang i Oslo Spektrum den 10. juni i år. Dette vil være den største og mest omfattende BI-konferansen som noen gang er arrangert i Norge. Store navn som Wayne Eckerson, Cindi Howson, Donald Farmer, Timo Elliott og Marc Teerlink er på talerlisten.  Flere nye navn offentliggjøres kontinuerlig.

Over 25 partnere skal bidra til at dette blir det mest interessante eventet innen BI i Norge i 2013. Microsoft, IBM og SAP er gullsponsorer og vil etablere egne spor med talere relatert til sin teknologi.  I tillegg vil en programkomite fastlegge øvrige områder og talere etter at frist for «Call for Abstracts» utgår 15. April.  Agendaen vil bli noe du aldri har sett maken til på norske BI konferanser.

Dette arrangementet bør du ikke gå glipp av – her vil du bli inspirert, lære noe nytt, og møte og utveksle erfaringer med store deler av Norges BI-miljø!  Flying Culinary Circus står for mat på ulike restaurant stands hele dagen, hvor man kan mingle rundt og plukke fritt så mange godbiter man ønsker seg.

På kvelden blir det Flying Culinary Circus Show, konsert og mat, drikke og moro!

For mer informasjon og påmelding sjekk ut http://www.gurusofbi.no/

Du kan følge GOBI på Linkedin (allerede 400 medlemmer!), Facebook og Twitter.

How Big Data Brings BI and Predictive Analytics Together

Big data is breathing new life into business intelligence by putting the power of prediction into the hands of everyday decision-makers.


For as long as anyone can remember, the world of predictive analytics has been the exclusive realm of ivory-tower statisticians and data scientists who sit far away from the everyday line of business decision maker. Big data is about to change that.
As more data streams come online and are integrated into existing BI, CRM, ERP and other mission-critical business systems, the ever-elusive (and oh so profitable) single view of the customer may finally come into focus. While most customer service and field sales representatives have yet to feel the impact, companies such as IBM and MicroStrategy are working to see that they do soon.

Big Data Moves Analytics Beyond Pencil-Pushers
Imagine a world in which a CSR sitting at her console can make an independent decision on whether a problem customer is worth keeping or upgrading. Imagine, too, that a field salesman can change a retailer's wine rack on the fly based on the preferences that partiers attending the jazz festival next weekend have contributed on Facebook and Twitter.
Big data is pushing a tool more commonly used for cohort and regression analysis into the hands of line-level managers, who can then use non-transactional data to make strategic, long-term business decisions about, for example, what to put on store shelves and when to put it there.
However, big data is not about to supplant traditional BI tools, says Rita Sallam, Gartner's BI analyst. If anything, big data will make BI more valuable and useful to the business. "We're always going to need to look at the past…and when you have big data, you are going to need to do that even more. BI doesn't go away. It gets enhanced by big data."
How else you will know if what you are seeing in the initial phases of discovery will indeed bear out over time. For example, do red purses really sell better than blue ones in the Midwest? An initial pass through the data may suggest so—more red purses sold last quarter than ever before, therefore, red purses sell better.
But this is a correlation, not a cause. If you look more closely, using historical transaction data gleaned from your BI tools, you may find, say, that it is actually your latest merchandise-positioning-campaign that's paying dividends because the retailers are now putting red purses at eye level.
That's why IBM's Director of Emerging Technologies, David Barnes, is actually more inclined to refer to the resulting output from big data technologies such as Hadoop, map/reduce and R as "insights." You wouldn't want to make mission-critical business decisions based on sentiment analysis of a Twitter stream, for example.