Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How Mobile BI Will Change Sales in the Next Decade
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > How Mobile BI Will Change Sales in the Next Decade
Business IntelligenceNew Products

How Mobile BI Will Change Sales in the Next Decade

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

sm flat tilt iPad pic1 300x296 photo (data analytics)Want to know a secret? The business world is changing – sales, decisions and how buyers buy.

sm flat tilt iPad pic1 300x296 photo (data analytics)Want to know a secret? The business world is changing – sales, decisions and how buyers buy. According to a recent blog post from Jeffrey Gitomer, a well-known sales strategist and trainer, sales has undergone a dramatic change in the past five years. These changes are eerily close to what’s happening in how business decisions are made.

Additionally,  Boris Evelson (@bevelson), Forrester Vice President and Principal Analyst,  recently wrote that the research firm has tracked continuously increasing levels of adoption and maturity for mobile business applications, except Business Intelligence apps. One of the main reasons this area has failed to take off is the technology to use the apps is just now maturing. That is no longer true with the introduction of tablets and BI platforms for tablets such as the iPad2.

 

More Read

AI and business
3 Ways that AI Can Help Your Small Business
From Business Intelligence to Consumer Intelligence
Great illustration of the hierarchy of analytical BI techniques
Top BI and Analytics Tools for Data-Driven Businesses
2009 Annual Marketing Trends Study

Gitomer’s list of changes below is an excellent starting point for how mobile BI will change the way we make decisions and sales in the next ten years. As you examine this list, take a look at how well these changes match up with Evelson’s mobile BI predictions.

Differentiation from competition. Sales is no longer about which price is better; it’s about who provides the most value. Where do you find that value? With sophisticated data analytics such as a data visualization on a salesperson’s iPad 2 of how much your company can save the prospect over time. Hmm…sounds a little like what Evelson says in his list of what you can do with mobile BI – “Improve ‘elevator pitch’ effectiveness.”

Value-driven sales presentations. Sales no longer take the tone of “we do this.” It’s about proving the value after the sale. Data visualizations and real numbers derived from sophisticated data should be the focus of today’s sales presentations, not what Gitomer calls the “boring we-we slide decks from marketing.” More from Evelson – “Deliver BI in the right place, at the right time.”

Profit from purchase. Decision makers could care less if you are going to save them money on your product. If your product makes them money, then they want to talk to you. You can’t show them the money without digging through the data.

Using social media to make connections. Gitomer says you have to be Facebooking, Tweeting and Linking In instead of cold calling to be a competitive salesperson. Evelson makes a charge for choosing a mobile BI vendor that relates to social media with his recommendation that your application should “leverage GPS signals for geolocation and geospatial analytics.” As much of social media is going on location, this is an important factor.

Customers expect INSTANT information. While Gitomer says every customer wants and expects a live, friendly person ready to help them when they call you, it’s not enough to just have a voice. You need data and the benefit of mobile BI is getting relevant information to the end-user wherever they are is no longer a problem.

Collaboration with customers. The companies that will get ahead in sales are those that build relationships with their customers and act as a partner or trusted advisor. By presenting the customer the value in easy-to-digest formats, you are not pushing – just showing them value. That’s a key skill in value-based selling.

If mobile or social BI interest you, please join us on Friday, March 18th at 11am EST for a complimentary webcast entitled Introduction to Silver Spotfire.

Amanda Brandon

TAGGED:appsmobile bi
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive
microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Mobile Business Intelligence
Business IntelligenceSoftware

Mobile Business Intelligence: Strategies, Trends and Pitfalls

6 Min Read
which apps use most data
Big DataExclusive

Which Apps Use The Most Data, And What To Do About It

8 Min Read

Location Intelligence and Mobile BI: Advancing Data Analysis in Retail

5 Min Read

Mobile Business Intelligence – Real-Time Data is Key

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?