Preview of PentahoWorld Speakers – Cloudera, Forrester, NASDAQ

July 25, 2014
PentahoWorld

PentahoWorld

We’ve been busy curating compelling keynotes and general sessions for PentahoWorld that will help you develop a roadmap for scale, growth and success. Before the big reveal of all of our speakers, we wanted to give you a preview of some of the big data leaders and mavericks that will be speaking at PentahoWorld in Orlando, October 8-10.

We’ve selected keynotes that are big data innovators and leaders who’ve had the vision to see the potential of big data well ahead of the curve, while our general sessions will focus on more tactical information as you work to leverage the latest technologies, solve your biggest data challenges, and get the most out of your Pentaho implementation.

Preview of the First Wave of Speakers
Quentin GallivanChairman and Chief Executive Officer, Pentaho
Mike OlsonChief Strategy Officer, Cloudera
Christopher DziekanChief Product Officer, Pentaho
Mike GualtieriPrincipal Analyst, Forrester Research
Michael WeissSr Software Engineer, NASDAQ
John DinhLead Product Manager, NASDAQ

Next steps for you:

  1. Check the Agenda page often as we continue to add to the agenda
  2. Make sure to register today! Early bird ends August 31st (30% savings!)
  3. Are you using Pentaho in an interesting or innovative way? Apply for the Pentaho Excellence Awards – Deadline to submit is July 31st.

 


Attention Retail Banks, Its Time for Change!

July 18, 2014

Walhalla_(1896)_by_Max_Brückner

Retail banks, which have been wracked by scandals relating to PPI fraud, LIBOR rigging, unpopular bonus schemes and IT failures, need to think beyond upselling and cross-selling and consider how big data analytics can repair trust and improve the whole customer experience. In the article, Montetising Big Data in Retail Banks Starts with a Better Customer Experience, Davy Nys, VP of EMEA & APAC at Pentaho shares how retail banks can achieve  the ‘Valhalla’ of customer value pricing (CVP), or maximising the total value of a customer to a bank throughout all interactions and transactions. He explains how big data integration and analytics supports CVP in five ways:

  1. Supporting a two-way, 360-degree view
  2. Lower costs
  3. Smarter offers
  4. Customer friendly fraud detection
  5. Measuring customer sentiment

Learn more about how to achieve the ‘Valhalla’ of CVP read the full article here and register/attend the live webinar featuring Forrester Analyst Martha Bennett on the topic: Making the Most of your Data in the Financial Sector on July 22nd at 11am GMT


Pentaho 5.1 in LEGO

July 16, 2014

Two weeks ago we launched Pentaho Business Analytics 5.1. The new capabilities in Pentaho 5.1 support our ongoing strategy to make the hardest aspects of big data analytics faster, easier and more accessible to all. In honor of our Chief Architect, Will Gorman (also a LEGO Master Builder), we decided to have some fun with LEGO and now present to you the LEGO explanation of new features and functionality in Pentaho 5.1:

Lego_5.1

Direct Analytics on MongoDB – Unleash the value of MongoDB analytics for IT and Business Analysts with no coding required.

MongoDB5.1_2

Data Science Pack – Operationalize predictive models for R and Weka, drastically reducing data preparation time and effort.

Lego_RWeka

Full YARN Support – Reduce complexity for big data developers while leveraging the full power of Hadoop

YARN_5.1

Visit the 5.1 landing page to learn more about this release and access resources such as videos, data sheets, customer profiles and download.

 


World Cup Dashboard 2014 – in 15 minutes

July 3, 2014

dashboard fifa

Are you caught in the World Cup craze? Two of my passions are English football and analytics (hence I’m a SE at Pentaho based in London). So when it came time for this years’ World Cup, naturally I combined my passions to analyse who is going to win and what makes a winning team?

It turns out that a Big Data Analytics team in Germany tried to predict the winners based on massive data sets. Thus far three of their top five predicted teams have faltered. So what went wrong? Is Big Data not accurate? Are analytics not the answer?

Fret not. Exploring their methodology, their analysis was based from only one source of data. At Pentaho, we believe that the strongest insights come from blended data. We don’t just connect to large data sets; we make connecting to all data easy, regardless of format or location.

So why is my little World Copa Dashboard different (pictured above)? Its simple, intuitive and quick to create using Pentaho to access and organize the information I wanted — taking only 15 minutes. Yes, raw data to dashboard in 15 minutes! Here is how I did it:

I took 2010 FIFA World Cup data in CSV format and turned it into three panels of information in a format I wanted to see. It was my view into the action. I wanted more information beyond the basic winners and loosers, rather the interest to look behind the scenes (such as how and why) about one of the most spectacular sporting events on the planet. With analytics, I wanted to explore the following questions:

  1. How did strikers compare in the final outcome?
  2. Across a team, how hard did they work?
  3. What was the strategic approach of the winning teams versus the most industrious ones?

Using Pentaho’s built in mapping features I could visualise the countries with the ‘busiest’ forwards. This told me something about the work rate of the formations that country’s manager/coach was using. I could see the efficiency of the forward position players.

leading forward players

With the pivot table I could conditionally format the table to give me an at-a-glance view of the teams with goalkeeping performance, individual defending and attacking maneuvers.

player stats

 

Embedding the Official FIFA website into my dashboard also gave me access to FIFA’s own ‘trending’ players of this tournament. I could see historic performance versus the latest information.

official FIFA

One of the most vital aspects of analytics is offering the information in the right context for the user. With the rich visualisations of Pentaho Analyser it was simple for me to divide up the teams into a scatter plot showing me which ones worked the hardest for the duration they were in the tournament and which balance took the successful teams furthest.

teamstats

In summary, I got a behind the scenes look at my World Cup data in four different visualisations all combined into one dashboard easily, quickly and efficiently using Pentaho User Console and I was able to prepare the data into a format of my choosing rapidly using Pentaho Data Integration.

Turn your data into your own personal viewpoint with the power of Pentaho Business Analytics 5.1.

GO ENGLAND…for the next World Cup, perhaps? ;)

Zaf Khan
Presales Engineer
Pentaho


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