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  • admin 9:52 am on January 30, 2016 Permalink
    Tags: , Brierley+Partners, , Evaluation, , Large, , , , Tops,   

    Brierley+Partners Tops Q1 2016 Forrester Wave™ Evaluation Of Customer Loyalty Solutions For Large Organizations 

    TRA-1014-LThe Q1 2016 Forrester Wave™ evaluation of customer loyalty solutions for large organizations is out, and it was great to see Brierley+Partners named as a leader.

    As Brierley points out, it earned the highest score for Current Offering and received the highest score possible in service delivery capabilities, loyalty strategy design, loyalty marketing and analytics and measurement. In addition, the Forrester Wave evaluation cites Brierley’s “strong loyalty management and marketing capabilities” and notes that “across the board clients praise [Brierley’s] account management, strategy design and digital member engagement capabilities.”

    These results confirm what we at Teradata Marketing Applications already know: that Brierley is committed to a customer-centric approach, focused on helping brands build engaging and profitable customer relationships.

    The results also validate how important it is to have the right integrated marketing solutions in place.

    As I’ve said before, creating the best experience for your customers is about listening to the information they provide – and responding with the most relevant approach for their needs. Relevance is what cuts through the clutter, connects with the individual and keeps them from clicking away. Intimate relevance – driven by Individualized Marketing – elevates the loyalty programs of the past to the engagement of the future.

    To illustrate my point, here are a few examples:

    • Hertz. Hertz uses data and CRM to dominate the rental car market. The company sends individualized messages and unique offers via multiple channels through their 3,700 call center agents, counter terminals, handheld devices and the Hertz website.  The offers are real-time and customized for the channel and the recipient, and customer service agents are given exactly what they need to provide the customer a consistent experience with an individualized offer. Hertz is able to send an average of 56,000 unique offers –  80,000 during peak times! The decisioning on all these offers is driven by data.  Watch the video.
    • 7-Eleven. 7-Eleven, which sees more than 7 million transactions each day, created a mobile app with the aim to build “convenience on top of convenience” and solve problems for its customers with localized information and offers. For instance, if a customer needed to find the nearest store, he or she would have access to all of that information in the app. With customer permission, the company also uses real-time and location data to suggest coffee to customers on a cold morning or cold drinks and fresh fruit on a hot afternoon. On the heels of its successful data-driven loyalty program, the convenience retailer’s next initiative involves building awareness about the healthy choices available at its stores to continue developing relationships and conversations with its customers.

    We celebrate Brierley+Partners achievement in this Forrester WAVE because what’s good for them is good for us – and for our joint customers.  By sharing details about how these customers are achieving success through our partnerships with Brierley and others, more marketers can learn how they too can improve customer loyalty through the power of Individualized Marketing.

    The post Brierley+Partners Tops Q1 2016 Forrester Wave™ Evaluation Of Customer Loyalty Solutions For Large Organizations appeared first on Teradata Applications.

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  • admin 9:51 am on March 11, 2015 Permalink
    Tags: , , , Foresight, Hindsight, Tops   

    Foresight Tops Hindsight: Data-Driven Decisions Beat Gut 

    Many decisions we make every day are not data-driven but are made by our gut instinct. That’s fine when those decisions are about what to wear, what to eat, where to go on vacation, and how much to spend on an item. But what about when your choices can impact the company’s bottom line, or even its ability to survive? Companies that report they are data-driven also report they perform better than those that rely on gut instinct.

    Today’s fast-paced and competitive business world demands that we be all be data-driven and not rely on gut instinct. Yet, some companies continue to rely on gut instinct instead of data when it comes to making critical decisions.

    I recently presented an International Institute of Analytics webinar, “Making the Best Decisions Possible with Enterprise Decision Management,” with independent industry consultant James Taylor and SAS business analytics expert Fiona McNeill.

    We asked participants whether their business decisions are driven by data or by gut instinct.

    Our findings were:

    • 1 out of 10 make decisions driven by gut instinct
    • 2 out of 10 make decisions driven by facts from data
    • 7 out of 10 make decisions driven by gut and data

    Are you the one that still makes decisions with gut instinct?

    As businesses become more targeted, personalized and public, it is critical to make precise, data-driven decisions for regulatory compliance and risk management. As data volume, velocity and variety continue to grow, it becomes harder to capture, integrate and analyze the data and to capitalize on the opportunities data uncover. Gut instinct is proving to be insufficient in today’s high-data volume, fast-moving, critical decision-making environment.

    Increasingly, companies that are moving to become data-driven are an in-database approach to data analysis. This method allows users to move the decision calculations to inside the database, where the data already resides. Using an in-database approach allows you to optimize the resources and power of the database. It also allows you to minimize data movement. By minimizing data movement, you’re able to dramatically streamline the decision process.

    In-database processing of data analysis is not new. Many companies across a broad range of industries have already implemented this technique. For example, one retail bank was able to run a scoring code in 16 seconds, compared to 79 minutes in the traditional method. Other companies and organizations are also using in-database processing and realizing the benefits of strategic discovery. It was not surprising to me that six in 10 of the webinar attendees reported that theyconsider in-database processing as a way to get answers faster.

    Are your gut-driven decisions not delivering the results they used to? Maybe it is time to give your gut instinct a rest and rely on data-driven facts to make sound decisions that affect your business outcomes.

    Check out the replay of the webinar I did with James Taylor for the International Institute of Analytics and Fiona McNeil. This webinar will describe how you can use data to drive consistently right decisions and gain competitive advantage. If you want to improve performance, economics and governance within your organization, view the webcast.

    The post Foresight Tops Hindsight: Data-Driven Decisions Beat Gut appeared first on Data Points.

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