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Houston, We have a solution: Data Virtualization
Leo Sadovy  
2/9/2016   Post a comment
To understand data virtualization, start by imagining the chatter across the multiple channels at NASA's mission control center.
There's a Sucker Invented Every Minute
James M. Connolly  
2/9/2016   3 comments
If consumers in China are moving toward machine-based purchasing, maybe that explains who is paying $150 for bottles of fresh British air.
Quantum Physics and the Shifting Foundation of Analytics
Bryan Beverly  
2/8/2016   6 comments
Quantum physics and quantum computing could turn many of the core principles of analytics on their heads. Big becomes small. True becomes maybe. Predictability becomes unpredictability.
Your Data, Your Health, Your Doctor
James M. Connolly  
2/5/2016   10 comments
Take a step back and think about the dramatic changes in healthcare that data and analytics have driven or enabled. It isn't your grandmother's doctor with black bag on a housecall.
The Next Step for the Grid is to Make it Really Smart
James M. Connolly  
2/4/2016   6 comments
Analytics on the evolving smart grid take center stage next week at the Distributech 2016 conference in Orlando.
Emotional Analytics and the Human Touch
Jon Martindale  
2/4/2016   5 comments
Recent breakthroughs by Realeyes allows for tracking of a person's emotional state based on a number of metrics related to their facial expression, all at a lower cost than existing kinesiology systems.
Where Might Zika Virus Strike Next?
Robert Allison  
2/3/2016   5 comments
A new map of where Aedes mosquitoes have been reported could help biologists control those insects that carry the Zika virus.
Advanced Math Meets the Conspiracy Theorist
James M. Connolly  
2/2/2016   8 comments
An Oxford University scientist turned to advanced math to deflate some of the world's great conspiracy theories.
Not in the Mood to Celebrate Data Privacy
James M. Connolly  
2/1/2016   12 comments
So, what was there to be happy about on Data Privacy Day? Not much.
Which Lives Longer, a Honey Bee or Black Ant?
Robert Allison  
2/1/2016   7 comments
See what you can do with raw data about animal lifespans, presenting it in interactive graphical formats.
Data as Defense Against Disruption
David Wagner  
2/1/2016   4 comments
Companies like AirBnB and Uber are disrupting their industries with data. But just as data can be used to disrupt an industry, it can be used to protect it from outsiders.
Kicking The Analytic Tires
Pierre DeBois  
2/1/2016   15 comments
As we can learn from automakers like Ford, effective study of customer needs and activity generate data that can create a renaissance within any company.
Data Analytics Trends to Anticipate in 2016
Venkat Viswanathan  
1/29/2016   50 comments
Watch for integration of mobile devices, better insight into customer behavior, and the emergence of virtual reality in business as we move through 2016.
The CDO Role: Not That New
James M. Connolly  
1/28/2016   15 comments
With all the buzz about the need for a CDO -- and a projection that 90% of large companies will have a CDO by 2019 -- shouldn't someone already be doing that job now?
How Did You Measure up in Snowpocalypse 2016?
Robert Allison  
1/27/2016   57 comments
Take a look at how SAS tools provide a glimpse into how much snow the eastern states received in last week's blizzard.
Itís Not Tables, It's the Relationships
Fabian Pascal  
1/27/2016   8 comments
The relational data model (RDM) was devised for essential modeling and thatís what is essential about it, not tables.
The Analytics of Customer Intelligence and Why It Matters
Suneel Grover  
1/26/2016   19 comments
With the growing importance of customer analytics in organizations, the ability to extract insight and embed it back into organizational processes is at the forefront of business transformation. However, this requires considerations for where relevant data resides, the ability to reshape it for downstream analytic tasks (predictive modeling vs. reporting), and how to take action on the derived insights.
Big Data: What's In a Name?
David Wagner  
1/26/2016   7 comments
The language we use around "big data" or "analytics" is changing. How your CEO is adjusting to that changing lingual landscape might say more about your depertment's success or failure with analytics than any metric.
Will Big Data Go to War?
James M. Connolly  
1/25/2016   19 comments
A US Army colonel explores how big data analytics could lower the risks involved in modern urban warfare.
The IoT Shows Its Worth to Businesses
Thomas Claburn  
1/25/2016   21 comments
The Internet of Things (IoT) can be used for a diverse set of tasks, including opening up new business models. A recent Forrester report explores how businesses are embracing IoT.
Retailís Big Show Prompts Big Questions While Offering Big Solutions
Lenny Liebmann  
1/22/2016   34 comments
The National Retail Foundation did a spectacular job of bringing the tech industryís top players together for a smorgasbord of solutions that couldnít help but overwhelm attendees with its breadth and sophistication.
Think Digital Transformation, Not Just Analytics
James M. Connolly  
1/22/2016   12 comments
Are you guilty of looking at an analytics initiative in isolation, and not all of the supporting changes that a company has to make as part of a digital transformation?
A Fun Analysis of Regional Cultures in the US
Robert Allison  
1/21/2016   44 comments
If you don't know where in the US to find El Norte or where The Midlands roam, Robert's adaptation of a map from a new book will provide fun and information.
We're Talking About Your Jobs
James M. Connolly  
1/20/2016   6 comments
Next up in the All Analytics Conversations series, John Reed of recruiting firm Robert Half Technology joins A2 Radio to share information about the 2016 job market for analytics professionals and what compensation packages look like for you and your peers.
Analytical Segmentation for Data-driven Marketing
Suneel Grover  
1/20/2016   1 comment
By applying marketing segmentation techniques, analysts can deliver a visual representation of the segments to help explain the results to nontechnical stakeholders.
Retail Analytics: Living on the Edge
Lenny Liebmann  
1/20/2016   11 comments
Activity at the National Retail Federation's Big Show 2016 in New York highlighted the importance of building out analytics capabilities at the network's edge.
Which Stores Will Walmart Close in 2016?
Robert Allison  
1/19/2016   30 comments
SAS tools helped Robert to provide interactive maps allowing customers to see whether Walmart stores projected for closing this year are nearby.
Five Moves to Advance Marketing Analytics in 2016
Lauren Tucker  
1/19/2016   1 comment
If management is asking what is marketing doing for your business, then your 2016 resolution should be to stop guessing and start knowing how your marketing strategy and investment will connect the brand to the sale.
We Really Care About Data Privacy, Maybe
James M. Connolly  
1/15/2016   29 comments
A pair of research reports indicate that American consumers increasingly care about protecting their personal data or at least demanding some benefits as part of a trade-off.
Objectives That Drive Strategy: A Lesson in Strategic Planning from NASA and Kennedy Space Center
Leo Sadovy  
1/14/2016   2 comments
Carefully communicated objectives and strategic goals help the Kennedy Space Center keep its team focused.
Is a Data Lake in Your Future?
Daniel D. Gutierrez  
1/14/2016   5 comments
The year 2016 will be a time for a lot of organizations to consider moving to a data lake strategy. Keep in mind how the concept has changed a bit and what concerns remain.
Retail Steps into the Analytics Spotlight
Matthew Brodsky  
1/13/2016   16 comments
The National Retail Federation's Big Show 2016 takes the stage at the Javits Center in New York on Sunday. Here's a peek into what attendees will see and learn.
How Far Does IoT Progress in 2016?
James M. Connolly  
1/13/2016   23 comments
The new All Analytics Quick Poll is your opportunity to share your thoughts on where the Internet of Things goes in 2016. Boom, bust, or something in between?
Watching YouTube Means Watching Retail Opportunities
Pierre DeBois  
1/11/2016   42 comments
As more content providers discover the programming value of YouTube, YouTube Analytics becomes more valuable. Retailers should not overlook the engagement value of the viewing platform.
Hacking Scandal in Baseball Shows We Still Don't Know the Value of Data
David Wagner  
1/10/2016   25 comments
The relative quiet surrounding a scandal in baseball reflects on the difficulty to understand the true value of data when it comes to a successful sports team or a business.
Tomorrow's Retail: Mobile, Smart & Real-time
James M. Connolly  
1/8/2016   2 comments
Among the many tech changes happening in the retail space, two critical moves are the implementation of Internet of Things concepts and use of real-time analytics, as we will see when the NRF Big Show 2016 opens.
Semantic Technology in 2016: Increasing Business Value
Luca Scagliarini  
1/7/2016   1 comment
System intelligence that puts text and other unstructured data types in context will take steps in 2016 to help organize data throughout an organization.
Analytics & Health: Numbers Are People
James M. Connolly  
1/6/2016   6 comments
It's a chicken or egg question. Will analytics change healthcare or does healthcare have to change to accept analytics.
Nine Ways for Hoteliers to thrive in 2016
Kelly A. McGuire  
1/6/2016   4 comments
For the hotel industry in 2016, the mandate includes more strategic thinking, fewer gut decisions, and better collaboration among business units.
Algorithm Predicts Relationship Success
Ariella Brown  
1/4/2016   54 comments
It's not just what you say but how you say it that can indicate whether that romantic relationship is destined to last, and data provides the clues.
The Elephants to Watch Out for in 2016
John Balla  
1/4/2016   12 comments
The Indian story about blind men and the elephant highlighted why you need a complete view of any issue, and that applies to how today's organizations view and respond to their customers.
A2 Radio: Analytics and Your Retailers
James M. Connolly  
1/2/2016   1 comment
Get a sneak peek at what attendees at the National Retail Federation's Big Show will see in terms of new technology, products and concepts that could change the way you shop or even how your own industry does business.
People Problems: Data Goes Just So Far
James M. Connolly  
12/30/2015   47 comments
Here's a mandate for the analytics team in 2016. Educate business leaders on what data can do for them, and what it cannot do.
Intelligence Moves to the Edge of the IoT
Kishore Jethanandani  
12/29/2015   5 comments
The benefits of adding intelligence in the form of algorithms to edge devices in the IoT can provide huge benefits, and advances in technology are enabling developers to build applications that take advantage of that intelligence.
Forecasting, Goal-seeking, and Magical Stories for Digital Analytics
Suneel Grover  
12/29/2015   10 comments
While creative visionaries and data scientists are both tremendous organizational assets within a team, it is the alliance between these two segments that will push marketing forward.
Big Data the Buzzword Heads for the Dumpster
James M. Connolly  
12/28/2015   41 comments
Big data the concept will live on after 2016, but it's time to let the buzzword fade away.
Pricing Analytics Get Jet.com off the Ground
Maryam Donnelly  
12/22/2015   87 comments
The current holiday season provides a test for Jet.com as it embarks on a pricing analytics driven strategy.
Release the fourth one first they did!
Robert Allison  
12/21/2015   42 comments
SAS tools help to illustrate the seemingly illogical release order of the Star Wars movies.
Where Analytics Pros Can Stand Tall
James M. Connolly  
12/21/2015   5 comments
The InformationWeek Elite 100, in partnership with All Analytics, will recognize analytics teams that excel in using data to help drive their organizations' success. Now is the time for organizations to apply for the Elite 100 program. Applications close January 15.
Automating Bad Decisions and the Ladder of Inference
Leo Sadovy  
12/18/2015   13 comments
Revisiting the Ladder of Inference highlights the importance of a human role when decision making is otherwise turned over to machines.
Page 1 / 2   >   >>




Latest Blogs
To understand data virtualization, start by imagining the chatter across the multiple channels at NASA's mission control center.
If consumers in China are moving toward machine-based purchasing, maybe that explains who is paying $150 for bottles of fresh British air.
Quantum physics and quantum computing could turn many of the core principles of analytics on their heads. Big becomes small. True becomes maybe. Predictability becomes unpredictability.
Take a step back and think about the dramatic changes in healthcare that data and analytics have driven or enabled. It isn't your grandmother's doctor with black bag on a housecall.
Analytics on the evolving smart grid take center stage next week at the Distributech 2016 conference in Orlando.
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