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Salesforce Einstein Analytics

Role of Salesforce Einstein Analytics in improving ROI for Pharma Industry

Srinivas K Belthur
July 23, 2020

Salesforce is one of the most popular CRM Tools that is there in the market currently. As many as 150,000 customers all over the world leverage Salesforce to drive their Sales, Service and Marketing. It has been ranked #1 for CRM Applications based on IDC 2019 Revenue Market Share Worldwide. In 2018 Salesforce dominated the worldwide CRM market with a 19.5% market, over double its nearest rival, SAP, at 8.3% share.

However, this is not a blog, where I will be doling out benefits of Salesforce CRM. We will in fact scratch a little beneath the surface and take a more realistic approach at what is the ROI in Salesforce Investment.

To achieve a strong ROI with Salesforce in terms of profits, businesses must consider multiple factors. The first being that choosing the right CRM and implementing it correctly. This involves hiring an implementation partner who has the desired capability and experience to conduct a robust requirements process, develop a training plan, help with adoption coaching and engineer business processes. The second and equally important factor is the ability to understand what to do with the data and dashboards that are now in your system. Even if you have all kinds of great data on your prospective customer, it still takes comprehensive Data Analytics to make sense of this data. Without efficient analytics, your CRM Data will only collect dust in a corner. Assuming that you have taken note and correctly followed point one; to truly achieve a positive ROI business needs to be able to perform comprehensive analytics on their data. They need to take analytics backed decisions so that sales go up thus improving ROI on Salesforce.

Why Einstein Analytics?

In order to gain deep insights from the extensive CRM Data businesses need an efficient analytics tool. Einstein Analytics meets this requirement to the “T”. It is an app used to visualize the activity occurring in your Salesforce environment. Whether you use Salesforce for Sales, Marketing, or Service, this visibility tool offers insights into the data (like contacts, campaigns, or accounts) your users add to the CRM every day. Salesforce markets the tool as an “AI-powered advanced analytics” solution that includes reports and dashboards, graphs, and other data visualization opportunities to help you make sense of how users are using Salesforce.

Einstein Analytics can be directly connected to CRM data to generate dashboards and reports. Salesforce notes that you don’t have to limit yourself to Salesforce to use Einstein – you can connect other CRMs and use it for overall business intelligence. The tool’s insights are intended to offer users easy access to potential business opportunities and other areas of growth that help organizations thrive.

Potential use cases of Analytics in Pharma Industry

Einstein Analytics can perform advanced analytics on CRM data powered by Artificial Intelligence (AI). Pharma companies can use insights drawn from these analytics to drive organizational success. Pharma agents, analysts, marketers, and sales reps can empower interactions to be smarter without getting into the complexities.

This is possible due to wide portfolio of self-service and customized analytics that Einstein Analytics can provide within the CRM data. Users can not only uncover deep insights and explore various data sets from a simple sales pipeline dashboard, but they can also perform sophisticated and complex forecasting decisions using Einstein Analytics. It can also be used to analyze millions of data combinations automatically to create prescriptive sales recommendations and predictive insights.

Let us now take a detailed look at how Sales managers in Pharma businesses can guide their company towards enhanced opportunities, leads, and profits by leveraging Einstein Analytics.

Enhanced Performance: Pharma Industry is extremely competitive, and sales is highly dependent on how efficiently each sales manager is able to meet their targets. With Einstein Analytics, Sales personnel can efficiently monitor the overall pipeline and compare actual performance with the predefined goals throughout the sales period. They can promptly drill down on individual team members for comparing their performance to quotas and then take relevant actions to reinforce or correct performance. Since it also helps identify high performing Sales Reps, their winning strategies can be identified and replicated across the organization. Sales teams can also leverage unstructured market data that they have gathered in sources outside the CRM to provide competitive intelligence helping strategize their drug launch into New Markets, factors influencing Doctors prescribing competitor drug vs theirs, etc.

Pipeline Optimization: Einstein Analytics helps Sales agents understand changes to their opportunity pipeline in real-time. Using it, they can view new deals, compare closed deals that were either won or lost and deals that moved into or out of the sales period. By doing so they can evaluate trends in opportunity to identify opportunities that were earlier missed. Since sales cycles tend to be long drawn in the pharma industry, with Einstein Analytics pharma reps can keep nurturing lukewarm leads and opportunities for a longer time without losing track and identify next action steps.

Forecasting: New drug launches are often planned well in advance. This includes the sales strategy. By leveraging Einstein analytics sales teams of pharma companies can forecast accurate Sales and revenue. With comprehensive forecasting dashboards, sales managers can better plan for the sales period and take preempted corrective action rather than trying to change wheels of a running car. This can also give them an accurate idea of when to expect to close particular deals, thus helping set realistic and achievable sales quotas and targets.

Whitespace Analysis: The ability to perform accurate Whitespace analysis is one of the strongest advantages of Einstein Analytics. What can otherwise take numerous tools or manual efforts can be done with great ease because Einstein Analytics can be run to analyze and draw insights from vast and complex data sourced within various data sets. It can help pharma companies to identify what to cross-sell to their client base, also identify and target which audience is being ignored by competition and can be targeted for sales. Most importantly it helps identify all the white gaps in an organizations sales strategy to locate which audience group is being ignored and which high performing products are not being emphasized enough. Einstein Analytics can also play a key role in creating Market intelligence for Pharma companies by gathering via Social listening tools like Twitter / Face book etc. to gauge what users are saying about their products. Additionally, they can also understand how competitor products are performing and analyze that data for Sales, Feedback and Quality improvement opportunities.

It is clear from the above that Einstein Analytics can have various potential uses in the Pharma Industry but the first challenge that seems to arise is that the above type of data will most likely not be stored in Salesforce. So then how will pharma companies utilize this data? 

Well, the good news is that Einstein Analytics connects directly with CRM data to generate dashboards and reports. Salesforce notes that you don’t have to limit yourself to Salesforce to use Einstein. Analytics connectors provide an easy way to connect to data that lies outside Salesforce. 

Connect and Sync Your Data to Einstein Analytics

Einstein Analytics provides a prebuilt connector that enables businesses to bring in Data from local org. It also provides a range of configurable connectors for remote data in external Salesforce orgs, apps, data warehouses, and database services. These Connectors help import data into Salesforce to analyze with Einstein. 

As explained by Salesforce, following is a detailed process to explain how we can import data from outside sources into Einstein Analytics. This entails that after you use a connector to create the connection to a data source, configure data sync to extract the needed source data into connected objects. You can then prepare the data in these connected objects, using a recipe or dataflow, to create your final dataset. 

syntax_image Connect to Local Salesforce Data 

Use the Salesforce Connector to manage the data synced between your local Salesforce org and Analytics. Filter data synced to Analytics, create more connections using the Salesforce Local connector, manage objects between connections, and add or remove objects and fields from sync. Use the Salesforce External connector to sync data from a remote Salesforce org. 

Connect to Remote Data Outside of Your Salesforce Org 

Create a remote connection to sync external data with Analytics. Connectors are available if you turned on Analytics after the Winter ’20 release or after enabling Data Sync for your org. For each connector, we provide information on how to create the connection, configure its properties, and track important considerations. 

Optimize Your Dataflows with Data Sync 

Use data sync to decouple the extract of Salesforce data from your dataflows, and sync this data in Analytics on a separate schedule. By scheduling sync ahead of time, your dataflow has less to do and runs faster. To lighten the load, even more, Analytics syncs Salesforce data incrementally by default, meaning that only data that’s changed gets synced. 

Thus, we can conclude that Einstein Analytics can play a major role in optimizing ROI in Salesforce especially for Pharma Industries. This is mainly due to the two key advantages it offers. One is its inherent AI Capabilities that allow managing complex and vast data sets which is atypical to Sales teams in Pharma companies. The other is its unique ability to import data from external sources, thus making it easier for Pharma businesses to connect various data sets and draw valuable insights that can have potentially game-changing impact. 

About the Author

Srinivas K Belthur, LOB leader - Enterprise Solutions and GTM

Srinivas has 26+ years’ experience with Technology & Business consulting services and has successfully delivered Strategy, Planning and Execution of Global engagements involving Cloud Migrations, Digital Transformations, M&A and Divestitures, Infra/Apps/BPO Managed Services.

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