Self-service Analytics and Data Preparation

Posted by Christian Franklin

9/12/16 11:00 AM

Analytics and traditional business intelligence are experiencing a massive technological shift. One that is generating a constructive dialog around how to combine the tried and true with the new realities of exponential data growth resulting from rampant digitization.

 

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Topics: Analytics, Information Management, Big Data

3 Design Thinking tips for data enthusiasts

Posted by Christian Franklin

9/6/16 6:00 AM

Design thinking. If you are not familiar with the term, is described as "a methodology that relies on a proven and repeatable problem-solving protocol that any business or profession can employ to achieve extraordinary results".

Combine performance management with design thinking to be a change agent for becoming more data driven. 

Here are three quick tips for the data enthusiast to keep in mind.

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Topics: Analytics

The Heart of Data Virtualization (Part 3)

Posted by Steve Cormier

10/13/15 11:14 PM

Part 3: Data Virtualization to the Rescue

In Part 2 of this article, we explored how creating a data warehouse meant buying hardware, and software, and managing it, and doing backups, and version upgrades, and having more DBA’s, and how something new was needed.

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Topics: Analytics, Business Intelligence

The Heart of Data Virtualization (Part 2)

Posted by Steve Cormier

6/16/15 1:00 PM

Part 2: The re-emergence of process oriented design

In Part 1, we looked at how OOD/Normalized modeling came into being and how important it was to data efficiency and integrity. 

In this installment, we see how the process-oriented design approach has re-emerged in the Big Data culture, and how data virtualization helps restore OOD/Normalization order. 

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Topics: Analytics, Business Intelligence

What can your company learn from AirBnB and Uber?

Posted by Arlo Paranhos

12/17/14 6:44 PM

Inc. Magazine recently ran a cover story recognizing AirBnB as their 2014 Company of the year.  Just days later, the New York Times reported that Uber’s latest funding round values the privately held organization at $40 billion.  That’s all well and good if you need to rent a room or catch a ride, but what can your company learn from their success?

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Topics: Analytics, Business Intelligence

Impressions from IBM Partnerworld and Tableau Software Partner Conference

Posted by Christian Franklin

3/6/14 10:27 AM

As I was making my way to San Francisco International (SFO) the dread of spending the better part of a week and Valentine’s day in Las Vegas started to sink in.  The upside was that I was going to be able to cover two conferences in one fell swoop and they were at hotels right next to each other.  My schedule was to cover IBM’s PartnerWorld and Tableau Software’s newly launched partner conference which was more buzz for me because I’ve been working with the new version of Tableau Desktop and have quickly become enamored with its capabilities and intuitiveness. 

Does the following scenario ever happen to you?  An observation in daily life gets you asking questions which starts a mental exercise that turns into thinking about data...  Well, the SFO security checkpoint was one of those moments for me.  I arrived at the security checkpoint in Terminal 2, expecting to breeze through to my gate (because of the 'TSA pre-check' stamp on my boarding pass) and get to the Virgin America gate with plenty of time to spare.  Well, so much for expectations - I continued to stand in line and observe 4 lanes and one expensive whole body scanner stand idle.  This got me wondering if the airport authority, TSA, and airline reservation systems do any data analysis on this.  My conclusion is that they don’t even though on the surface it should be pretty simple to extract de-identified data and run a baseline analysis of security gate load at specified times.  As good as Virgin America's customer experience is it's off set by the TSA's customer experience.  Don't get me wrong, they have an important role to play but in my experience, they don't give a rip about customer experience. Back to the conferences...

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Topics: Analytics, IBM, Tableau

Microsoft Excel – The Beauty, the Danger, and Moving Beyond to Analytics

Posted by Steve Cormier

11/13/13 11:00 AM

People talk about a lot of cool data science and tools these days; big data, analytics, sentiment in social networking; but the fact is, a very substantial amount of the computing in the US takes place in a small intimate place called Microsoft Excel.

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Topics: Analytics

Integration: What’s in a Name?

Posted by Steve Cormier

4/28/12 6:14 PM

You're building a data warehouse, and you want to indicate what U.S. Census regions your customers are in for analytics purposes.

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Topics: Analytics, Data Warehouse, Information Management, Information Integration

Open Data as part of your Healthcare Analytics Strategy

Posted by Christian Franklin

3/27/12 7:53 PM

If you have had any interaction with the consultants at TamGroup, you probably noticed that we have a passion for data, and more specifically: how to harness data and package it as a service to make it more readily consumable as information, which can be incorporated into process and work streams.

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Topics: Analytics, Healthcare

Healthcare VNA and Analytics

Posted by Christian Franklin

3/25/12 11:59 AM

Healthcare VNA, or vendor neutral archive is getting a lot of attention lately - for many of the right reasons however too much of the dialog is concentrated around liberating the data from proprietary PACS. Instead, the discussion should be expanded to incorporate data and leverage analytics in a way that improves efficiency and care while reducing the cost of care and empowering the patient.

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Topics: Analytics, Healthcare

Life Sciences, Analytics and Smarter Infrastructure

Posted by Christian Franklin

3/22/12 10:17 PM

Years ago we were very involved with cutting edge life sciences firms doing genomics and proteomics research - cutting edge stuff that was going to help pharmaceutical firms and healthcare in general. Craig Venter and Celera had mapped the human genome and the race was on... (among other things, search for smarter infrastructure that improved results a leg of that race).

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Topics: Optimization, Analytics

Big Data as part of an enterprise data strategy

Posted by Christian Franklin

3/19/12 4:16 PM

Working with big data is becoming an integral part of the enterprise data strategy at many organizations - and they are looking to deploy a platform that allows them to manage the data from the moment it enters their enterprise. A number of vendors are crafting enterprise ready platforms in an effort to improve time to value (and generate license revenue).

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Topics: Analytics, Data Warehouse, Big Data

A Formula for Successful Data Integration in Healthcare

Posted by Christian Franklin

3/14/12 9:21 AM

A formula for successful data integration in Healthcare looks like this:

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Topics: Analytics, Data Warehouse, Healthcare

Hadoop in the Enterprise Data Warehouse: Next Gen Analytics

Posted by Christian Franklin

2/6/12 4:57 PM

The Forrester Wave Report: Enterprise Hadoop Solutions was just published. The report notes that more players are jumping into the Hadoop pond and points out that it is still an immature market (a view that we share).  Althought the report is not without controversy: Hadoop Players Question Forrester's Take On Leaders, it's worth a browse - you can get a copy of it here

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Topics: Analytics, Big Data

Healthcare Transformation

Posted by Christian Franklin

1/10/12 11:14 AM

The volume and demands of Integration and interfaces around HL7, CCD’s, EMR’s, and HIE’s are staggering! Cloud computing and big data are being actively discussed across many industries today and most certainly, the concept of cloud computing, big data tools such as Hadoop have made their way into the field of healthcare. However transformation in healthcare is more than technology alone, it encapsulates a need for change in the culture of healthcare itself. The ability to leverage cloud computing, big data technology in general as change agents for healthcare transformation is what really matters.

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Topics: Analytics, Healthcare

Interoperability of Data in Health Information Technology

Posted by Christian Franklin

12/9/11 12:27 PM

The continually changing state of healthcare needs and interoperability of data in Health Information Technology (HIT) systems is growing exponentially. The need to have and consume discreet data exchanges between electronic medical records (EMR) and electronic health records (EHR), Health Information Exchange (HIE) and Personal Health Records (PHR) portals is in the forefront. The ability to exchange a fully coded Continuity of Care Document (CCD), availability to trigger automatic delivery once an event in care occurs, and to deliver the SAML interface is essential for adoption and use in the industry by all Health Information Technology groups. Ambiguity of the coded CCD mapping and missing naming definitions is hindering interoperability. Vendors need to quickly recognize that they no longer have control over consumers or their behaviors. Data access continues to rapidly empower the consumer but creates major challenges for healthcare providers and vendors. This shift also embodies the need to provide needed deliverables to users with even greater security and speed.  Data virtualization in healthcare and agile code morphing by vendors will be key to driving quick adoption by consumers (patients, providers and payors). 

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Topics: Optimization, Analytics, Information Management

Analytics: getting better all the time

Posted by Steve Cormier

8/3/11 4:27 PM

The pace of competition in business is increasing, fed in part by advances in information dissemination and computing power.  It doesn't matter what type of business, constant improvement is the focus.

The obvious sector is retail, where margins are often thin, competition can be fierce, and immediate product feedback allows businesses to adjust their advertising, promotions, or product placement in time frames inconceivable even a decade ago.    

A customer on the Internet can experience a new set of offers based on aggregate information from thousands of their fellow shoppers, drawn from their reaction to an offer experienced within the previous hours or even minutes.

Retail isn't the only sector subject to demands for constant improvement.  Healthcare, with pressure from government, constant innovations in treatment, and an emerging sense of consumerism on the part of patients, is seeking to identify improved practices and achieve better patient communication.

Utilities, faced with constrained resources and ever increasing need, are looking to smart feedback systems to help them tune their supply and demand balances, based on how people react to various factors in their consumption of services.

The solution to all of these demands for constant improvement is found in analytics.

What is analytics, really?  

Analytics is about getting feedback from existing systems to determine how to alter them for the better.

To do this, data (often large amounts) is drawn from existing systems, and compared against desired outcomes.  Where the result doesn't match the expectation, further analysis can be done to see where things are going wrong.  The system is altered, and the cycle starts again.  Doing this over and over again can lead to deeper customer satisfaction and better rewards to the provider.

Predictive analytics takes this one step further.  By applying algorithms based on extending existing data patterns, expected results of possible changes to the system can be modeled.

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Topics: Optimization, Analytics