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Content tagged with Big Data Analytics posted in August 2017
Find the Digital Skills Your Company Needs to Succeed
Commentary  |  8/31/2017
Reaching business goals, even surviving in an era of disruption, requires a tech-smart workforce.
Avoid Failure in Self-Service Analytics
Commentary  |  8/31/2017
Self-service analytics is becoming a popular option, but there are some steps professionals should use to make sure that they are interpreting results correctly, working well with others, and avoiding mishaps in reporting.
Organizations Struggle with Time to Value for BI
News  |  8/30/2017
New research from TDWI highlights the obstacles analytics projects face and suggests best practices for overcoming those challenges.
How to Modernize Business Intelligence for Self-Service
Commentary  |  8/30/2017
Are you looking to add more self-service options for business users? Here's how one company is updating its business intelligence program with Agile methodologies to open the doors to better user insights.
An IT Story: From Supporting Role to Business Partner
News  |  8/29/2017
An IoT project in a manufacturing plant helped to change the role of the IT group at French auto supplier Faurecia.
To Succeed, Consumer Goods Companies Now Require Analytics
Commentary  |  8/29/2017
Digital native companies like Dollar Shave Club were built on analytics. To compete, traditional consumer goods companies need to use analytics to get closer to their customers.
How Artificial Intelligence Will Impact B2B Commerce
Commentary  |  8/29/2017
The evolution of artificial intelligence promises massive changes in how commerce gets done and customer relationships.
Avoid the Danger Zone of Metrics
Commentary  |  8/28/2017
Organizations love metrics, particularly those that show success, but it's crucial to define metrics that truly track progress toward corporate goals.
Are You Really Ready for Intelligent Automation?
Commentary  |  8/28/2017
AI and automation are being combined in different ways to complete tasks more efficiently than humans. Every business will be impacted by intelligent automation sooner than may be apparent, so the time to think about it is now.
Predicting Traffic in the Sun's Shadow
Commentary  |  8/24/2017
How do you predict the popularity of a one-time event? A look at different ways to forecast road traffic along the path of the eclipse.
A Contrarian View on Automation
Commentary  |  8/24/2017
Beware the overly optimistic ROI estimate when it comes to an automation initiative.
3 Ways to Create a Strategic Framework for AI Adoption
Commentary  |  8/23/2017
CIOs need to help leaders understand how AI will really impact their spaces and take steps to using AI to help achieve long-term business objectives.
Insurance Struggles with Lead Gen & Data Analytics
News  |  8/22/2017
Insurance agencies struggle to reach new prospects. To adapt to changing markets, they must overcome challenges with data integration, data quality, and systems fragmentation.
How Customer Intelligence Impacts Customer Loyalty, Wallet Share
Commentary  |  8/22/2017
Most organizations that sell to consumers aspire to gaining a 360-degree view of customers. But is that really attainable?
How the Cloud Can Help Cure Cancer
Commentary  |  8/21/2017
The experience of Angelina Jolie highlights how cloud computing can help address cancer by cutting the cost of genomic sequencing and enabling data sharing.
Analytics and the Eclipse: Citizen Scientists Collect, Submit Data
Commentary  |  8/21/2017
Citizen scientists are collecting data from the eclipse as part of a NASA-sponsored project. Here's how you can participate.
QVC: Real-Time Data is the Future of ECommerce
News  |  8/17/2017
In its 31-year history, home shopping TV channel QVC has always faced the limitations of time -- just 168 hours a week to sell its products. Here's how real-time data feeds have changed the company's marketing efforts.
Capta: The data of Conscious Experience
Commentary  |  8/16/2017
Phenomenological researchers say "capta" is the "data of the conscious experience." Is there room for this kind of data in analytics? How should analytics pros use it?
The Secret to AI Could be Little-Known Transfer Learning
Commentary  |  8/15/2017
As more enterprises discover AI-based business applications, the concept of transfer learning could help to level the playing field.
Who Moved My Tech? The Art of Convincing the Unconvinced
Commentary  |  8/14/2017
Every technology initiative -- in fact many business changes -- will run into resistance from people. Here are three steps to overcoming that resistance.
Your New Biometric Password May Be Your Veins
Commentary  |  8/10/2017
Will the veins in your hand be the biometric identifier to unlock your medical records at every healthcare provider, insurer, and pharmacy? Here's a look at how this is being used today.
We're Entering a New Era of Augmented Analytics
News  |  8/9/2017
The next step in analytics -- augmented analytics -- brings automation and new degrees of insight into an analytics initiative.
Cloud Powers a Hybrid IT and New Digital Existence
Commentary  |  8/4/2017
Enterprise data centers aren't going away soon, but the role of the cloud will expand rapidly in our personal and business lives.
Regulatory Oversight vs. Crowdsourcing: The Best Approach for Quality
Commentary  |  8/4/2017
If you are looking for data quality, should you rely on professionals or passionate amateurs? Here are the pros and cons.
Financial Institutions Bank on Change to Stay Competitive
News  |  8/4/2017
Corporate transformation seen as the best way to counter digital disruption and address other key challenges.
Think AI, Clouds, Football, and Structure
Commentary  |  8/3/2017
One of the challenges to innovation and adoption of emerging technologies is our reliance on classifying everything and everyone.
Future Software: Only as Good as the People Who Build It
Commentary  |  8/2/2017
In a world increasingly dependent on software, we may need to develop the art of falling back to the most recent system that worked.
Visualization Enables High Dimensional Analytics
Commentary  |  8/1/2017
High dimensional data is our greatest asset in learning from data sets with hundreds, even thousands, of variables.


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