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December 31, 2013
2013 has been an exciting year with new products, partnerships and overall company momentum. Before the clock strikes midnight on December 31, and we welcome 2014, we'd like to look back at some of the top stories of 2013. Here are the top 10 most popular news releases of 2013: 10. Pentaho Named a Red Herring Global 100 Winner Big data integration and analytics leader listed among world’s most promising technology companies (Wednesday, November 27, 2013) 9. Revamped Global Pentaho Partner Programme Rewards Commitment and Lowers Barriers to Entry Now even easier for channel players to profit from the big data revolution (Wednesday, September 4, 2013) 8. Pentaho Brings Big Data Analytics to Intel® Distribution for Apache Hadoop Software End-to-end solution combines the Intel Distribution for Apache Hadoop Software with Pentaho’s full range of enterprise data integration and analytics software (Tuesday, February 26, 2013) 7. Rackspace brings ETL to the Cloud with Pentaho A Hadoop Summit Q&A (Thursday, June 27, 2013) 6. Pentaho Instaview Templates Broaden Big Data Access and Analysis Big Data delivery is simplified for IT to easily customize and create new templates; Data Analysts empowered to choose,...
December 23, 2013
Hadoop is a complex technology stack and many people getting started with Hadoop spend an inordinate amount of time focusing on operational aspects – getting the cluster up and running, obtaining foundational training, and ingesting data. Consequently it can be difficult to get a good picture of the true value that Hadoop provides, namely unlocking insight across multiple data streams that add valuable context to the transactional history comprising most of the core data in the enterprise. At Strata Hadoop World in October, Pentaho’s Lord of 1’s and 0’s or CTO, James Dixon, unveiled a powerful demonstration of the true value that Hadoop – combined with enabling technology from Pentaho and our partner Cloudera – can provide. He took a publicly available data set provided by the City of Chicago and built a demo around it that enables nontechnical end-users to understand how crime patterns have changed over time in Chicago, unlocking insight into the type of crimes being committed in different areas of the city - not only historically but also broken down by time of day and day of week. As a result, citizenry as well as law...
December 12, 2013
Why might Big Data mean millions for marketing? Because it has the potential to create a more complete picture of the buyer, thereby empowering marketers to more effectively deliver the right message to the right individual at the right time – and ultimately increase sales. In the following brief video from DMA 2013, Marketo VP/Co-founder Jon Miller and Pentaho CMO Rosanne Saccone provide a crash course on what Big Data means for marketers. It covers: The defining characteristics of Big Data – Velocity, Variety, & Volume How marketers can leverage Big Data to blend operational information (CRM, ERP) and online data (web activity, social networking interactions) for new insights Sample Big Data use cases that organizations are green-lighting today to optimize customer interactions and drive marketing’s contribution to revenue Note that this is an excerpt from a larger presentation – for the full video please click here . We’d also recommend this blog post by Jon Miller for more context on Big Data in marketing. For additional compelling use cases that leverage Big Data for marketing and other functions, see here . Ben Hopkins Product Marketing Pentaho
December 5, 2013
Last year, I predicted that 2013 would be the year big data analytics started to go into mainstream deployment and the research we recently commissioned with Enterprise Management Consultants indicates that’s happened. What really surprised me though is the extent to which the demand for data blending has powered up the curve and I believe this trend will accelerate big data growth in 2014. Prediction one: The big data ‘power curve’ in 2014 will be shaped by business users’ demand for data blending Customers like Andrew Robbins of Paytronix and Andrea Dommers-Nilgen of TravelTainment , who recently spoke about their Pentaho projects at events in NY and London, both come from the business side and are achieving specific goals for their companies by blending big and relational data. Business users like these are getting inspired by the potential to tap into blended data to gain new insights from a 360 degree customer view, including the ability to analyze customer behavior patterns and predict the likelihood that customers will take advantage of targeted offers. Prediction two: big data needs to play well with others! Historically, big data projects have largely sat...
December 4, 2013
The beakers are bubbling more violently than usual at Pentaho Labs and this time predictive analytics is the focus. The lab coat, pocket-protector and taped glasses clad scientists have turned their attention to the Weka machine learning software. Weka, a collection of machine learning algorithms for predictive analytics and data mining, has a number of useful applications. Examples include, scoring credit risk, predicting downtime of machines and analyzing sentiment in social feeds. The technology can be used to facilitate automatic knowledge discovery by uncovering hidden patterns in complex datasets, or to develop accurate predictive models for forecasting. Organizations have been building predictive models to aid decision making for a number of years, but the recent explosion in the volume of data being recorded (aka “Big Data”) provides unique challenges for data mining practitioners. Weka is efficient and fast when running against datasets that fit in main memory, but larger datasets often require sampling before processing. Sampling can be an effective mechanism when samples are representative of the underlying problem, but in some cases the loss of information can negatively impact predictive performance. To combat information loss, and scale Weka’s wide...
December 2, 2013
In today`s blog post, I want to put the spotlight on our Norwegian partner Conduct and congratulate them for their great work implementing Pentaho for WiMP Music, a music streaming service similar to iTunes that is very popular in Northern and Central Europe. The deployment received the 2013 BI Award for Innovation in Norway given by the prestigious Norwegian Computer Society on October 31st in Oslo. Through local editorial teams in each country, WiMP provides daily recommendations, tips and playlists for any occasion for its audiences. The ad-free service is available on computers and mobiles, tablets and network players in Denmark, Germany, Norway, Poland and Sweden. The business is entirely digital and data-driven, with music files licensed from a large number of different sources delivered by a huge partner network and priced dynamically, according to where and how it is sold. Wimp’s BI solution was built by Conduct on Pentaho Business Analytics and has been in production since 2010. Pentaho has become essential for delivering the music streaming service WiMP provides, because it controls income distribution and settlement. It also provides information that WiMP is contractually obliged to provide to...