Accelerate Business with Big Data Insights

high-speed90% of all data ever created was created in the past two years.*

This astounding fact alone is enough to make IT managers look for the closest exit. When you’re overwhelmed by a lack of resources and budget, leveraging big data with an antiquated IT infrastructure can seem like an impossible task.

No doubt your business data is on par with the rest of the industry, growing in volume, velocity, and variety at a staggering rate. While managing your massive data sets may seem like an overwhelming undertaking, consider these potential benefits to be gained by harnessing your data:

  • Improve decision-making ability and operational intelligence by predicting outcomes based on previous actions taken
  • Increase transparency by providing access to greater amounts of data and numbers of users
  • Help prevent wasteful spending, fraud, and abuse by flagging questionable expenses or erroneous payments
  • Respond to issues immediately with on-demand access to business insights

Creating a comprehensive big data strategy that leverages advanced technology, analytics, and proven best practices will enable you to answer your business challenges with strategic data insights.

Deploy a big data plan to boost productivity

Creating a strategy to unify business data, from both the digital and physical worlds, will provide transparency in all aspects of your business. Applying advanced analytics to your data will enable you to unlock business […]

By | October 13th, 2016|Categories: Big Data|Tags: , , , , |0 Comments

Do we have an over-reliance on data?

Recently, a rather alarming headline appeared in my news feed (”Data dangers: Why publishers’ over-reliance on data puts them at risk”.) The author believes that newspapers publishers’ reliance on customer data makes them “vulnerable” because ad blockers and customer privacy legislation will lead to data scarcity. He makes an interesting point. Blockers and legislation will shape how data is collected and used. But, in this age of information, I’m not sure that data can be overly-relied upon. And, there are best practices when working with data that’s been acquired from website visitors which can mitigate concerns about data scarcity:

Handle with Care

Website visitors see their personal data as valuable, and rightly so. Treat it with care. Safeguard it. When possible, ask permission when gathering information.

Demonstrate Value

Collect the minimum information required, and demonstrate the value for the visitor. When creating sign-ups for an email newsletter, for example, resist the impulse to gather extensive demographic information. Readers know all you really need is their email address.

Before a visitor commits to providing personal information, explain what they will receive in return. Display a sample if possible, so that providing personal information becomes a value exchange.

Use What You Already Have

Examine the data you already have on hand with fresh eyes. For example, Shoom eTearsheets, while designed to provide proof […]

By | June 10th, 2016|Categories: analytics, Big Data, IoT|Tags: , , , , , |0 Comments

Dizzy with Data

foottrafficFoot traffic data is spinning around us with a dizzying effect.

Why are we losing our equilibrium when looking at the conclusions of data? Think back on the days of Analytics 101, garbage data in -> garbage results out. What’s the value of data unless it captures what is really going on?

We all have the same problem – we want an accurate view of people. Methods that only capture WiFi devices are missing a big part of reality; many people simply turn WiFi off and 65% of phones in use are still “feature phones” (no WiFi available). AirPatrol’s own studies have found that WiFi-only detection represents less than 4 out of 10 people.

With information like that, we’re not only missing an accurate count; we’re missing opportunities and skewing the data we have. If you look at the facts, feature phones are likely in the hands of the 55+ crowd as the younger generations want need the newest device. This age group is in the majority of devices that remain unseen with WiFi-only detection. Concurrently, this age group also has the most disposable income. Now your data isn’t only miscalculating the number of people in the area, but it’s skewing the data to younger age groups, a smaller disposable income and stores that attract a younger demographic. […]