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Learn More About Your Customers to Target Prospects More Effectively


Understanding each customer’s needs and demands can provide insight to target prospects with greater efficiency. Harness the data within your customer relationship management (CRM) solution to identify the prospects most likely to buy, with the marketing tactics that are most likely to improve their engagement and experience.

There are many more ways to reach out and engage customers than ever before. In addition to traditional advertising methods, such as print, TV, and billboards; there are online avenues, including numerous social media networks and digital advertising. Businesses quickly find that taking advantage of every possible marketing and advertising opportunity can become cost prohibitive. Don’t waste time or money on marketing efforts that aren’t delivering results. Download this infographic, “7 Ways to Grow Sales with Intelligent CRM,” to discover how CRM can provide the information you need to fine-tune marketing efforts by targeting prospects more effectively.

How Can You Use All That Data as a Strategic Advantage?

An integrated CRM solution, such as Microsoft Dynamics® CRM, offers the ability to capture and analyze volumes of data about customers, sales, and marketing efforts. Microsoft Dynamics CRM also offers business intelligence and reporting features to simplify how you can identify trends within these vast data sets. You can evaluate customer records and focus on demographical data, such as what types of customers are most likely to purchase your products or services. Analyzing sales data can also highlight interesting trends about products, like those that may be increasing in popularity or products with more regional or seasonal trends. In addition, CRM can be used to monitor marketing activities, indicating which types of activities and campaigns attract the attention of more prospects, resulting in more reliable leads. Microsoft Dynamics CRM helps you listen to what customers are saying on social media sites, providing another level of rich data that can be used in your marketing.

Zeroing in on the marketing activities that have attracted customers in the past can provide the insight you need to refine tactics and capture the attention of similar prospects, as well as save money in the process. Download the infographic and contact GNet Group for more information about understanding your customers better and using this information to target prospects with greater efficiency and accuracy.

By GNet Group, a Gold Microsoft Partner with offices in Minnesota, Texas, Iowa, Pennsylvania and India

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7 Ways Businesses Can Apply Machine Learning to CRM and Boost Sales


Today’s customer relationship management (CRM) solutions offer a wealth of information and opportunities, if your people know how to access and use it. Businesses that apply machine learning to CRM are able to target their audience, identify buying behaviors, and breathe new life into sales. Learn how to put CRM data to good use and grow sales with intelligent CRM.

Your sales representatives might have a ‘good feeling’ as to which products customers are most interested in, and your marketers can have a ‘good feeling’ about their next campaign; however, best guesses don’t drive profits. Download the infographic, “7 Ways to Grow Sales with Intelligent CRM,” for quick insight into what your prospects and customers are thinking, then leverage that insight to boost sales. Learn more about these seven tips:

  1. Zero in on prospects: Use CRM to analyze customer data to predict buying behaviors and focus on the marketing tactics most enticing to prospects.
  2. Collaborate to increase sales: Sharing customer data amongst departments can identify new opportunities to increase cross-sales and up-sales.
  3. Score leads: By scoring leads, your sales team can focus on the opportunities most likely to win sales in the shortest amount of time.
  4. Identify trends: Evaluate historic and current sales to identify trends in buying behaviors, then leverage this insight to take advantage of new opportunities.
  5. Fine-tune marketing efforts: Analyze customer behaviors and responses from previous marketing campaigns to determine which efforts attract the most attention and generate the most leads. Fine tune those efforts to improve the campaign results and fill up the sales pipeline.
  6. Strengthen forecasts: Assess past wins and losses to improve forecasting by individual or the entire sales team.
  7. Use social networks: Learn more about your customers by connecting to popular social networking sites, then use that data to strengthen customer interactions.

Although years of experience can provide marketing and sales teams with a good indication of what captures the attention of your customers, you need good data to make data-driven decisions. A powerful CRM solution can provide reliable information about prospects, customers, and marketing efforts that you can use to improve sales. Download the infographic and contact GNet Group for more information about increasing sales with the support of intelligent CRM.

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Browse Climalytics in Power BI


Below is a Power BI report which allows you to interactively explore weather data mashed up with healthcare data:


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Power BI Update – Pin Excel Visuals Directly To Power BI


Microsoft has added another new feature that will be a big plus to all companies who put a lot of emphasis on reporting done through Excel. They have now given users of Power BI the wonderful ability to pin Excel visuals directly to Power BI. As with most things within Power BI, the process is as simple as it gets.

For example, I spent literally 3 minutes to get from a blank Excel document to having a new tile on my Power BI Dashboard, all using Microsoft’s example data outlined in their AdventureWorks suite. It really works as simple as Create, Pin and Confirm:


While the process is simple, there are always details to note that can prove critical if not considered. Microsoft’s answer is to create the Pin Manager. The Pin Manager is used to track your visuals that are being used in Dashboards and also gives you the ability to manually update them:














Presently it appears that the update cannot be scheduled or automated so the use of this feature should be selective until it becomes available.

The question therefore is why would you use the visuals you have created in Excel instead of using the embedded visuals in Power BI? The majority of significant visuals are present in both and Power BI can be scheduled to update automatically?

I believe there is a twofold answer. The first is that while Power BI is wonderful for visualizing cubes and creating models in, some datasets and spreadsheet data can be considered either too small or not compatible for a pivot model. In these scenarios the ability to Pin directly from Excel may be a better option.

The second answer is as simple as the tool itself. Despite all these new tools coming out, some people and companies simply prefer Excel, proven again by the fact that it is still the most used office software in the world.

Written By: George Bryant, GNet Group

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Webinar Release: Rise of the Machine (Learning)


Webinar: Rise of the Machine (Learning) – Azure ML Brings Predictive Analytics to the Masses

Machine Learning no longer requires expensive infrastructures and knowledge of specialized statistical coding languages. Microsoft Azure ML lowers the barriers of entry for predictive analytics using Machine Learning.  In this newly released webinar recorded by Greg Beaumont, he will review the similarities and differences of Machine Learning compared to traditional Predictive Analytics, Data Mining, Data Science, and Artificial Intelligence.

Greg will demonstrate how a BI solution using only Excel with Power Pivot can connect to an Azure ML Model in the cloud for predictions and new types of analysis. Learn how Azure ML can be used to add value to Apps. Also, review ways to turn your Azure ML Model into a source of revenue using Azure Marketplace.

Machine Learning is now quietly rising all around us as it integrates with technology, improves processes and workflows, and transforms how data drives business. Empower your organization with new competitive advantages using Azure ML.


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