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#ArkansasRazorbacks Set To Face Toledo In Little Rock #WooPig #Uncommon

No. 18 Arkansas will take on Toledo, a team picked to win its conference, on Saturday in Little Rock. The game kicks off at 3 p.m. on SEC Network Alternate

Game 2: Toledo| Saturday, Sept. 12 | War Memorial Stadium

Kickoff: 3 p.m. CT
TV: SEC Network Alternate

Find Out More . . .

 

#WooPig
#Uncommon
#NeverYield
#ArkansasRazorbacks
#GoHogs

Leveling the Playing Field: #MobileLocationAnalytics | #RetailCustomerAnalytics

This is an interesting article on how Mobile Location Analytics (aka Beacon Technology) is helping brick-and-mortar retailers compete effectively with online retailers by capturing customer behavior near and in the store.

You can read the article below, however, the question for you is how will you incorporate this new data source once it is provided to you by the retailer?

Will your rigid, difficult to modify, DSR incorporate this data stream in a timely manner – or the usual months or years that data model changes sometimes take in a data warehouse environment.

Contact us today to discover how Vortisieze analytics can rapidly adapt to new, sometimes ad hoc (think your latest spreadsheet creation), data sources.

Source: Leveling the Playing Field: Mobile Location Analytics

#MobileLocationAnalytics
#RetailCustomerAnalytics
#CPG
#CPGMarketing

How #PredictiveAnalytics is Changing the Retail Industry | #CPG Take Note

This article is so important we are reprinting it in its entirety. As always, the link to the source is below.
Please contact us to see how predictive analytics can give you the competitive advantage over your brand’s competitors.

Ideally, a retailer’s customer data reflects the company’s success in reaching and nurturing its customers. Retailers built reports summarizing customer behavior using metrics such as conversion rate, average order value, recency of purchase and total amount spent in recent transactions. These measurements provided general insight into the behavioral tendencies of customers.

However, reports summarizing average behavior don’t provide the useful insights needed to determine how individual customers are likely to behave because general behavior tendencies are simply too broad. In order for retailers to create a meaningful dialogue with customers that honors the shopper’s preferred level and mode of engagement, it takes more than summarized reports, which is why customer intelligence and predictive analytics provide the opportunity to significantly change the retail marketing industry.

Customer intelligence is the practice of determining and delivering data-driven insights into past and predicted future customer behavior. To be effective, customer intelligence must combine raw transactional and behavioral data to generate derived measures. The process can best be described using the saying, “It’s not the data that is collected, it’s the data that is created.” Put into a predictive modeler’s perspective, the team not only collects a large amount of data, but also contextualizes that data by building derived attributes that provide additional insight into customer intent.

But how do data scientists and predictive modelers determine which derived attributes are relevant? Usually data scientists lack the deep domain expertise needed to clarify and prioritize their efforts. Therefore, a collaboration with domain experts is essential. This collaboration is like a three-legged stool. Each leg is critical to the stool remaining stable and fulfilling its intended purpose. When it comes to generating customer intelligence, the three legs of the stool are retail experts, data geeks and coders, and predictive modelers or data scientists.

Retail experts have domain expertise and can best frame the problem customer intelligence is aiming to solve. They suggest derived attributes that will provide value to both the brand and the company’s marketing campaign. Data geeks are needed to program these ideas and store them in a suitable database, which can often lead to greatly increased data storage requirements for the retailer. However, if the data can only be used to create solutions or make key marketing decisions if it’s properly stored and accessed. Inaccessible data means useless data and a wasted opportunity.

Predictive modelers and data scientists are then needed to use the stored data to build models that achieve those business objectives originally set by the retail expert. Predictive models find relationships between historic data and subsequent outcomes so that near-term and long-term customer behavior can be predicted. This leg of the stool aims to answer problems such as the likelihood of when a shopper will make their next purchase and what the value of that purchase will be. Sometimes, these relationships are so complex that only machine learning techniques will find them.

In a real world example, consider a retailer that would like to appropriately message high-valued, loyal shoppers who appear to be disengaging from the brand. A predictive model built from stored data could identify which shoppers are likely to purchase again with seven days, allowing the retailer to let them be the loyal customers they truly are. The predictive model can also show if certain shoppers are unlikely to purchase within seven days but have a high average order value. For these shoppers, the retailer could provide an incentive to bring the shoppers back to the brand. In either case, predicting what shoppers are likely to do is critical to understanding how best to complete the dialogue with them.

Moving forward, retailers will need to big data augment marketing decisions using insights gained from customer intelligence and predictive analytics. Each retailer’s data team must bring in elements from all aspects of the business, including retail experts, data geeks and predictive modelers. These key elements will set retailers up for success as we move forward into the era of big data.

Source: How Predictive Analytics is Changing the Retail Industry

#AnalyticsInRetail
#CategoryManagers
#CPG
#CPGMarketing
#NorthwestArkansas
#PredictiveAnalytics
#PredictiveAnalyticsRetail
#RetailingInNorthwestArkansas

 

#PredictiveAnalytics market will be worth $5.24 billion by 2018 illuminated by new report

Interesting introductory article announcing a predictive analytics report.

The report “Predictive Analytics Market [(Fraud, Risk, Marketing, Operations), Verticals (BFSI, Healthcare, Environment, Government, Retail, Energy, Manufacturing, Transportation, Travel, Telecom, Sports)]: Worldwide Market Forecasts and Analysis (2013 – 2018)”, defines and segments the predictive analytics software market into various sub-segments with in-depth analysis and forecasting of revenues. It also identifies drivers and restraints for this market with insights on trends, opportunities, and challenges.

Global predictive analytics market is driving on the emergence of massive amount of data deluge and innovative technology implementations. Business enterprises focus has changed from traditional Business Intelligence (BI) solutions to predictive analytics, because they have understood the importance of data and its analysis for the future estimation.

Traditional BI solutions are striving to sustain in this highly competitive world. The transformation of BI to predictive analytics gives new opportunities to the big players as well as new startups in this market.

This article highlights the how big data is outpacing traditional BI – both in ability to deliver actionable insights and the technological infrastructure to handle massive amounts of data, much of which is ad hoc and unstructured.

For a complimentary consultations about your analytics and insights needs contact us today.

Source:  Predictive analytics market will be worth $5.24 billion by 2018 illuminated by new report

#PredictiveAnalytics
#DataAndMarketing
#BigData
#CPG
#CPGMarketing

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#ArkansasRazorbacks Football is Back for 2015 Season Opener #WooPig #Uncommon

SEC Nation Is Coming To Fayetteville

The University of Arkansas will host SEC Nation this weekend as the Razorback football program takes on UTEP at 2:30 p.m. on Saturday, Sept. 5. The show will broadcast live on Saturday morning from 8 to 11 a.m. from Victory Village North.
Find Out More . . .

arkansas-football

#WooPig
#Uncommon
#NeverYield
#ArkansasRazorbacks
#GoHogs

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What Do Marketers Really Want in #DataAndTechnology?

Marketers get data – or at least they get the importance of data. Data answers questions such as:

  • Can you help me understand my customers?
  • Which customers are my best customers and why?
  • How can I find profitable new customers?
  • How can I sell more to existing customers?
  • How can I retain my existing share of each customer?
  • How can I increase the velocity of my sales?
  • How can I integrate my marketing through all available channels?
  • How can I maximize the impact of my marketing budget?

However, data is just data unless you have the marketing technology to “make the data talk.” Marketers are increasingly in charge of marketing technology spend to drive better data outcomes. In fact, technology has become the core of marketing. According to research by IBM, marketing executives are adopting technology in the following areas:

  • 88% Customer Relations

  • 83% Digital Marketing

  • 68% Customer Analytics

  • 49% Mobile Advertising

Read more. . .

Contact us today to discover how Vortisieze analytics can take you to the corner of Marketing and Technology.

Source:  What Do Marketers Really Want in Data and Technology?

#DataAndMarketing
#BigData
#CPG
#CPGMarketing

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Retailers to increase IoT spend fourfold by 2020 to US$2.5bn | #BigData #TechnologyTrendsInRetail

Anticipating the winds of change, major retailers are expected to increase their investment in internet of things (IoT) technology fourfold to US$2.5bn by 2020.

In the commercial space, IoT in retail is one of the clearest examples where connected network technology could have a significant impact on customer interaction in stores.

In particular, retailers have already begun investing in IoT hardware, including Bluetooth beacons and radio frequency ID (RFID) tags that allow them to send information to them in-store and keep a tab on stock and price levels, respectively.
Read more . . .

How will your DSR handle all that new, differently structured data? (Hint – it won’t!)
Contact us today to discover how Vortisieze analytics can bring this, and many more, types of data to your analytics package.

Source: Retailers to increase IoT spend fourfold by 2020 to US$2.5bn

#BigData
#CPG
#CPGMarketing

#TechnologyInRetailIndustry

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New #BusinessIntelligence skills in, BI developers out

Consultant Lee Feinberg says organizations need to build up their data storytelling and visualization capabilities — and details a competition for finding people with the right business intelligence skills.

You’re investing a lot of money in business intelligence tools and applications to keep up with your organization’s changing business needs — perhaps hundreds of thousands of dollars, if not more. But are you investing enough in the people who you expect to use those tools — or in the right kind of people to begin with? Probably not.
Read more . . .

Contact us today for your complimentary BI consultation.

Source: New business intelligence skills in, BI developers out

#BusinessIntelligence
#CategoryManagers
#CPG
#CPGMarketing

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Here Are the #CPG Brands Men and Women Trust Most | What Can #CPGMarketers Learn?

Interesting read.

Results are based on a survey of nearly 89,000 U.S. consumers age 15 and older in June and July of this year. Each respondent rated 40 randomly selected brands, and each brand received about 1,000 ratings. (A few months ago, Harris Poll released research about non-CPG products and services. In that study, top brands included Subway—before the revelations about pitchman Jared Fogle—and Target, despite the company’s high-profile data breach in 2013.)
Overlaps on the CPG lists underscore a key societal insight: Some responsibilities and activities, and the products associated with them, are no longer viewed as mainly the domain of one gender or another.
“Family backyard barbecues [Reynolds] and family bumps and scrapes [Band-Aid, Neosporin] are becoming gender-neutral domains,” de Vere said. “If I were a brand manager or advertising executive, I would be really intrigued to understand whether or not men and women see different benefits in some of these overlapping brands.”
Marketers should keep in mind that “brand choice for both men and women is emotional and rational,” he said, and strive to understand consumer motivation on both levels as they construct campaigns.

Top-10 Most Trusted CPG Brands for Men

  1. Band-Aid Adhesive Bandages
  2. Heinz Ketchup
  3. Neosporin Antiseptic
  4. Reynolds Aluminum Foil
  5. Duracell Batteries
  6. Ticonderoga Pencils
  7. Glenlivet Single Malt Scotch Whisky
  8. Energizer Batteries
  9. Ghirardelli Chocolate
  10. Scotch Tape

Top-10 Most Trusted CPG Brands for Women

  1. Ziploc Food Storage Bags
  2. Band-Aid Adhesive Bandages
  3. Reynolds Aluminum Foil
  4. Neosporin Antiseptic
  5. Dawn Dish Soap
  6. Kleenex Facial Tissues
  7. Sharpie Markers
  8. Q-Tips
  9. Clorox Bleach
  10. Tide Laundry Detergent

What can CPG marketers learn from this?  This data could be useful overlaid with other data in a big data analytics tool.

Contact us today for a complimentary consultation.

 

Source:  Here Are the CPG Brands Men and Women Trust Most

#BigData
#BigDataAnalytics
#CategoryManagers
#CPG
#CPGMarketing

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Northwest Arkansas Weekend Happenings – August 29-30, 2015

Enjoy your Saturday cup-o-joe and then get out with the family this weekend.

The weather forecast looks like mostly sunny skies with the high temperatures in the mid-80s.

Here are a few offerings – enjoy your weekend and we’ll see you at the office next week.

 

#NorthwestArkansas