For Salesforce Customers, Integration is Essential

For Salesforce Customers, Integration is Essential
For Salesforce Customers, Integration is Essential

According to Bluewolf’s The State of Salesforce Report, a survey of more than 1,500 Salesforce customers, more than two-thirds of companies reported that they are planning to increase their investment in analytics. This is consistent with the previous year’s report and signals that companies are continuing to experiment with ways to get more out of their expanding collections of data.

The best companies aren’t simply analyzing their Salesforce data—they’re integrating different data sources to speed up their ability to mine huge datasets and uncover new insights. They arm their employees with recommended actions based on insights that help them make smarter day-to-day decisions.

“Data is not confined to empowering just the service and customer-facing employees; it cannot exist in a siloed environment. It must be integrated into the entire organization, prompting businesses to realign executives, employees and processes around the customer and absorb insight-driven value propositions throughout,” said Eric Berridge, CEO, Bluewolf.

Essential to success with increased analytics investments will be overcoming the challenges of disparate data. 76% of companies reported that they struggle with integration and data quality and nearly half of all Salesforce customers stated that they have problems reconciling data from different sources, including other Salesforce orgs. This is the top barrier to deriving business insights from Salesforce data.

While the best companies feel confident in their analytical skills and visualization tools most still wrestle with the task of assembling and cleaning data used for reporting. For most employees, reporting is not only a daily task, but often the most time-consuming activity. Clean, easily accessible data reduces the time it takes to produce reports, not only improving productivity and efficiency, but also increasing the impact of analytical data on a company’s business outcomes.

No matter the complexity or goal of an analytics project, approach it with the following steps in mind.

  • Be predictive. Be very clear and decide on the project’s desired outcome. Without a specific problem or goal to focus the project, knowing when to stop researching becomes very challenging.
  • Be precise. Determine how analytics will solve the problem. This helps decide what data is required and which questions need to be asked of the data.
  • Be prescriptive. After analyzing, identify specific employee behaviors that will help achieve business outcomes. Continuously test the process and make improvements.

This year’s The State of Salesforce Report was produced in partnership with Informatica. This research underlies our two companies commitment to addressing these business-critical issues with industry-leading products and solutions, including our latest offerings in the the exciting new area of cloud analytics and analytics-delivered applications.

To access all the findings in The State of Salesforce, download the full report now.