The secret weapon to being more productive

May 17, 2012

When focused on business analytic processes, where do you think you spend most of your time? The Business Analytics benchmark research by Ventana Research, uncovered that the top obstacle in the analytics process is that two-thirds of the time is spent on data-related tasks. That is a lot of time!

But there is a way to overcome this obstacle and uncover the solution to be being more productive. Mark Smith highlights the new features in Pentaho Business Analytics 4.5 as the secret weapon. In his blog, Pentaho Business Analytics Brings Visual Discovery and More big Data Support, Smith points out how Pentaho 4.5 addresses one of the most significant obstacles to the analytics process stating, “This new release helps business and IT work together. Users can massage data and perform analysis with an integrated set of products from a single vendor, which our research finds less than one in five organizations do today. If you have not taken a look at Pentaho, investigate this version, as it is a great example of business intelligence growing into business analytics.

So if you’re spending too much time on data related tasks it’s time to try the secret weapon and take a look at Pentaho Business Analytics 4.5 with new interactive visualizations and big data support.

I think you will be impressed with how we continue to prove the future of business analytics is bringing business intelligence and data integration together in a modern unified platform.

Let me know what you think (leave a comment below, on our Facebook page or on Twitter @Pentaho).

Donna Prlich – Director, Product and Solutions Marketing at Pentaho


Big Data Bubbles Up Trouble!

May 16, 2012

Today Big Data has made the impossible, possible. Collecting and analyzing unstructured data types such as social media data, web click streams, network and data center logs is no longer a daunting task. While Hadoop and MapReduce are the technologies behind the scenes to crunch massive volumes of data, advanced visualizations have become the art that show us the best (and worst) parts about our data.

Out of all types of different visualization styles, bubble charts are unique in the sense that they allow you to show hundreds of individual values at once! They are the perfect visualization for showing data sets that have a high degree of distribution in their frequency. Let me give you a couple examples:

Example # 1 - A call center looking at hourly tickets, on a week by week basis, to understand what issues cause the most service calls. Optimizing the call center performance requires analyzing average call duration as well as call wait times, for each service issue. This can be 1000s of calls every hour of every day. How you graph this? With a bubble chart that shows:

  • X axis – days of the week
  • Y axis – hours of the day
  • Color of the bubbles – reason for the call / service issue
  • Size of the bubbles – quantity of calls or call duration or call wait time

Example # 2 – A marketing organization looking to improve its branding and customer sentiment. What is the best way to visualize their online presence such as tweets as well as other social media sentiments?

  • X axis – previous week vs. current week, for a week over week analysis
  • Y axis – their company and their major competitors
  • Color of the bubbles – keywords such as “bad quality” or “crash”
  • Size of the bubbles – volumes (# of tweets) or the intensity of the sentiment (e.g. “hate”, “worst”, “like”, “love”, etc.)

Want to see this in action? Check out this 3 minute video to find out how a bubble chart can help you visualize your data.

What are your data troubles? Do you have the Big Data technology and the advanced visualizations required to see it? I would love to hear more use cases of this visualization. So, drop me a line at @farnazerfan or leaving a comment below.

Farnaz Erfan
Product Marketing
Pentaho


The Power of Location in Your Data

May 10, 2012

Did you know that 70 percent of all business data contains a location component? With this increasing amount of location-based data, geo-mapping visualizations can help you detect geographic trends, such as customer clusters or outliers.

For marketers, sales executives and product managers, these types of visualizations are critical in understanding customer demographics. Determining where your best markets are concentrated or analyzing your sales performance against incoming demand, keeps you one step ahead of the competition.

Pentaho’s new geographic data visualizations can help you answer fundamental questions, such as:

  • Where are my customers located?
  • Which countries visit my website the most?
  • Which regional marketing campaigns are working?
  • Are my sales territories and client clusters aligned?
  • Which stores are carrying the most shipping costs?
  • Where is my mobile app used the most?

Powerful, isn’t it? For a quick peek at Pentaho’s new geo-mapping visualization capability, watch this three minute video.

What location-based data are you tracking? Let me know by leaving a comment.

- Farnaz Erfan, Product Marketing, Pentaho


Did You Catch the Pentaho 4.5 Webinars Yesterday?

May 4, 2012

Busy day at Pentaho yesterday with two live webinars introducing our latest release, Pentaho 4.5. What an amazing response! We had record numbers of both participants and questions about our new visualizations like geo-mapping and heat maps, our breadth of integration with big data sources, and how to embed our analytics into third party applications. Wayne Johnson, Pentaho’s Senior Sales Engineer walked everyone through a telecommunications use case demo that showcased the power of our business analytics platform to analyze and improve provider quality and reduce costs.

Once again, Pentaho demonstrates how to bring data integration and business analytics together to solve real world problems. If you happened to miss one of the two live webcasts take a look at the recording: pentaho.com/4.5-webinar.

Let me know what you think by leaving a comment below, on our Facebook page or on Twitter using #Pentaho45. We would love to talk about how Pentaho’s modern integrated business analytics platform can improve your business performance.

Donna Prlich – Director, Product and Solutions Marketing at Pentaho


3 resources to get started with Pentaho Business Analytics 4.5

April 26, 2012

Wow, incredible. The response to our announcement of Pentaho Business Analytics 4.5 has been enormously positive. Sitting next to sales I have an earshot sound track to the demand and interest from customers in the new visualizations, big data support and pluggable and extensible interface for easily adding third-party visualizations.

Fortunately, we have an abundance of resources available for customers to get started:

  • Check out our new heat grids, bubble charts and geo-mapping in a new visualization video series.
  • If you want to learn more about our support for new and expanded data sources—including big data, take a look at our big data resource center. It doesn’t get any easier than this to get started quickly with any of our supported big data technologies.
  • Or maybe you just want to get right in there and get a hands-on look at the product?  Download a 30-day trail of Pentaho Business Analytics 4.5. I know you will be impressed.

Let me know what you think (leave a comment below, on our Facebook page or tweet @Pentaho).  Meanwhile, I’ll keep listening to our busy sales managers and the sweet sound of the phones ringing for Pentaho Business Analytics 4.5….

Donna Prlich
Director, Product and Solutions Marketing at Pentaho


BI and DI finally connecting both sides of the building

April 24, 2012

I was musing the other day with a colleague about the early days of data warehousing. We reflected on how more than 20 years ago, the effort to get data into one place for analysis was mind-boggling. Then, analyzing the data in a warehouse was an even bigger challenge. For the most part these were two separate topics, two sets of users – IT and business users sitting in opposite sides of a building.

In many ways we are continually faced with the same problem, bringing together a growing variety and volume of data from flat files and delivering it to the business users who need it and support their tools of choice.  It is too easy to focus on one side of the building and not the other. A unique differentiator for Pentaho is that we focus on both sides of the building. Evolving as an open source company, continuing to innovate and never losing sight of how Business Intelligence and Data Integration should not and cannot be separated — the two are simply “better together.”

With the release of Pentaho Business Analytics 4.5 GA today, we continue to tightly couple business intelligence and data integration in an open, integrated platform. The new visualization features included in this release, such as geo-mapping, heat grids and scatterplots, allow our users to interactively analyze data through pictures and graphics, without leaving behind the need to analyze disparate data sources. Plus, we added new big data support and a set of online resources to help overcome technical barriers to big data adoption. For software and SaaS companies, we added a pluggable and extensible interface to easily add third-party visualizations.

The result? IT and line of business coexist. IT controls infrastructure and business users get the data they need with the tools they want. This is an idea planted in the beginning by Pentaho’s founders eight years ago. Since then the team has been busy building the platform and growing the customer and community to deliver the future of analytics — BI and DI together in a modern unified platform. Simply put — Pentaho is business analytics that work.

Take a look at the cool new visualization and big data features in Pentaho Business Analytics 4.5 and see for yourself…we’d like to hear from our IT and business users to see what you think! Let us know by leaving a comment below.

Donna Prlich
Director, Product and Solutions Marketing at Pentaho


Pentaho News, Event and Press Update

April 23, 2012

It has been a very busy April as you can see from four news announcements already this month. We know you are busy so we have put together a summary of important company and product news, upcoming events and press highlights. Also, to give you an insider tip…stay tuned to Pentaho’s Facebook, Twitter & LinkedIn pages this week for a BIG announcement.

Company and product news

Upcoming events and webinars

  • Webinar: Building the Business Case for Embedded BI
    May 2, 2012 | 9:00 a.m. PT / 12:00 p.m. ET Details and Register
  • Pentaho and Linalis Exclusive Business Analytics and Big Data Seminar
    May 2, 2012 | 10:00 – 17:00 (GMT) | Hotel Russell, London UK  Register
  • Webinar: Better Data for Better Analytics – Human Inference Data Quality Now Fully Integrated into Pentaho
    May 10, 2012 | 10:00 a.m. PT / 1:00 p.m. ET  Details and Register

Press highlights

Don’t forget to follow Pentaho on Facebook, Twitter & LinkedIn to stay up to date on the latest news (especially this week)!


Pentaho Training Courses for April and May

April 12, 2012

Pentaho is offering a variety of training courses this spring to help you take your Pentaho skills to the next level. Attend one of our training classes to enhance your Pentaho skills, increase the efficiency of your projects and network with your peers.

What’s New in Pentaho Business Analytics 4.0: $100 – April 25, Online
Ready to move to Pentaho Business Analytics 4.0? Take this online course to learn about all of the new features in 4.0.

Architect’s Bootcamp: $3,995 – April 24 to 27, Orlando, FL
This course is designed for developers looking to learn how to extend Pentaho with “out of the box” capabilities.

Business Analytics Bootcamp: $2,500 – April 10 to 13, San Jose, CA, May 1 to 4, Orlando, FL or Washington, D.C. May 14 to 17
Quickly get up and running by attending this Pentaho Business Analytics suite overview course.

Agile BI for Business Analysts: $495 – May 21 to 23 (9 hours), Online
This course uses Pentaho Data Integration and our on-demand environment to jump start the Agile BI learning process before making a long-term investment.

We hope to see you online or in one of our classrooms soon. For questions about Pentaho training, please contact trainingresponses@pentaho.com


Finding Wheelchairs in 1s and 0s: The Power of Location in Data

March 22, 2012

RTLS (real time location systems) have long been embraced by retailers to monitor store foot traffic and secure merchandise. Today, hospitals are also making use of the technology. RTLS systems are used to track and identify the location and status of objects in real time, using sensors that monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, or motion.

For healthcare providers RTLS means hard-dollar savings! With thousands of assets in constant motion each and every day, it becomes very difficult know what is used where, when, and why. These assets are core to providing care; therefore, dirty, in-use, or broken equipment can completely break the processes that take place in healthcare facilities. Simple activities like finding a piece of equipment can consume most of a caregiver’s time, slowing down patient flow, adding costs, and even impacting patient care.

How can a healthcare organization overcome this issue and put their location data into real use? —>By using powerful analytics. Let’s explore. There are two types of analytics:

1. Historical analysis. By understanding the actual utilization rates of equipment, hospitals can better estimate the inventory levels they need to have on hand, tailoring future purchases to maintain optimum inventory levels.

2. Real-time analysis. Monitoring the usage of equipment in real time and providing alerts when rental equipment is sitting idle, or when a piece of recalled piece of medical equipment enters a patient room,  or when par levels of clean and available equipment are not maintained, boosts the performance of the organization, improves staff efficiency, increases patient satisfaction, and improves patient safety and quality of care.

A great example of applied analytics in healthcare is what Intelligent InSites has implemented within their enterprise RTLS Asset Management software solution. Using this tool, some of their customers save up to $30,000 a month by monitoring real-time information on rental equipment and eliminating unnecessary expenses, such as paying for unused equipment. Intelligent InSites embeds Pentaho Business Analytics as part of their RTLS software solution. Their RTLS healthcare platform enables hospitals and healthcare facilities to analyze data from RTLS and RFID tags on medical equipment, such as wheelchairs or IV infusion pumps, gaining visibility into the location or status of these assets, identifying operational bottlenecks, and ultimately improving their patients’ safety and satisfaction.

Great use case, great story! But what are some things to look for when you are searching for business analytics software?

1. Big Data Support. Sensor and wireless data are considered new and emerging sources of information. Data feeds from RFID/RTLS tags are typically stored in a NoSQL database, such as Hadoop HBase, MongoDB, CouchDB and XML data stores. While transactional sources, such as point-of-sales data, will continue to use relational data formats, the value of an analytics platform lies in the visibility that it provides across all sources of data, comparing and contrasting one data set to the other.  Be sure to look for a business analytics solution that has a broad spectrum of data source connectivity, including both un-structured and structured data sets.

2. Embedded Analytics. Aberdeen research shows that the greatest benefit of business intelligence lies in the value of embedded analytics within an enterprise app. Rather than asking your end users—namely doctors, nurses, administrative staff, and knowledge workers—to switch back and forth between their business processes and the analytical application to drive insight, you can cut the latency and deliver analytics in real time.

A great example of this is Intelligent InSites’ embedded analytics from Pentaho that provides data on asset locations, status, usage, utilization and availability, directly from the end user’s RTLS Asset Management application. At a glance, hospital staff can locate the nearest available wheelchair or stretcher, saving valuable time.

3. Power to the User. Given that most users in healthcare are doctors, nurses, and administrative staff, ease of use and an intuitive user interface is one of the most crucial selection criteria. These users should not only be able to easily read and understand packaged reports, but also have interactive design tools to build their own analysis and dashboards.

Selecting the right Business Analytics software for your location data requires some level of due diligence. Know that you are not alone: location-based intelligence and analysis is applied across all types of industries. Whether you are a retailer looking to understand your customer preferences, a hospital tracking your equipment and resources, or even a horse race sponsor connecting your race track data to betting shops and TV screens, analyzing real-time location data unlocks immediate value.

What location data are you analyzing? Drop me a comment.

Farnaz Erfan
Product Marketing
Pentaho


Matt Casters on DM Radio – Future of ETL

March 20, 2012

Pentaho’s Matt Casters, Chief Architect, Pentaho Data Integration and Kettle Project Founder was featured last week on DM Radio on their radio broadcast titled: On the Move: Why ETL is Here to Stay.

Listen to Matt’s interview with Hosts Eric Kavanagh and Jim Ericson along with panelist Nimitt Desai of Deloitte, Geoff Malafsky of Phasic Systems and Josh Rogers of Syncsort.

Starting at 13:33 Listen to Matt talk about:

  • How Big data and ETL intersect and what that means
  • Points to keep in mind when starting to working and accessing data in and out of Hadoop
  • How to keep track of changing technologies and architectures
  • Why its important to not just do data integration for data integration sake
  • Why there’s a lack of best practices
  • What Matt’s seeing: need for high level of metadata and modeled ETL generation

Access both Matt’s segment and the full podcast here: http://www.information-management.com/dmradio//-10022068-1.html


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