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Move beyond Relativity: This Einstein is here for Data Analytics

The important thing is not to stop questioning. Curiosity has its own reason for existing.

-       Albert Einstein

If you started reading this blog thinking this as an another take on Relativity, you might be disappointed. This space is not for Physicist but for all those Analytic Consultants who wished Intelligence can be added in already available Business Intelligence Tools. This blog is for all those Report Consumers/ Architects who imagined powering Enterprise wide Reporting with Predictive Analytics and Artificial Intelligence. This reading is for all those Developers who wished that they can create Reports supported on multiple devices without a need to write code for each of them. This study is for those evangelists who visualized: Data Generation, Data Consumption, Insights and Actions - all using the same interface.


It has been almost a decade since my marriage with Business Intelligence Reporting. Clicking and dropping Dimensions and Facts into Report was Jazzy and Cool. That was a honeymoon period when click-drop was eye popping change compared to writing SQL for each use case of data extraction. Clock kept ticking; companies kept introducing newer reporting tools with 'incremental' changes; flexibility/ scalability kept pouring in; performance improved - but there was a limit to it. Soon I started founding my partner to be little predictable. We all loved what current age Reporting Applications have provided to us, but still there was an open wide gap in Reporting Application Landscape - Rich Visualizations, lowest TTD (Time to Deploy), Communicate to Collaborate, Multiple Hardware support, Cloud integration, boosted by predictive algorithm and robust security framework.

 

But recently, Salesforce made a 'Transformational' change when they introduced Einstein Analytics (EA) which had ALL of these features. I have worked on other tools which had one or few of the above features, but having them all at one place coupled with Intelligence and Ease of use - is a dream come true for any Data Scientist. So does mine. And thus, in this blog, we will explore why Einstein Analytics hold so many promises for the future and I will keep this space updated with further findings as I explore my new partner more.

 

As I am writing this, EA is constantly evolving and adding new features with its every release (3 releases in a year). Let me cover some of the most prominent features in this first blog. My subsequent blogs would explore EA into greater details. 

Bundling Technology and Features: Sales Cloud Einstein uses predictive lead scoring that can help Sales Rep to target the lead with maximum probability to close. Using opportunity insights, he can explore customer sentiment, competitor involvement, overall prospect engagement and thus, ability to pick the biggest winners from the opportunity list.

Did you identify a pattern here? Analytics, here, is not just offering you biggest Opportunity Report, Lead Generation Report, Total pipeline value; but here, all these metrics are converging into a single ecosystem where actual meaningful actions can be taken based on rapid and easy to make inferences from huge dataset.

 

Prebuilt Out of the Box Analytics Apps:  Salesforce also offer prebuilt Analytical apps as part of platform or separate licenses. Prominent of these apps are: Einstein Sales Analytics, Einstein Service Analytics, Einstein B2B Analytics. Service Analytics help service agents and to improve customer satisfaction further. Einstein Sales Analytics help sales team to manage pipelines, forecasts, and their team's performance. Einstein B2B Marketing Analytics facilitates marketers to engage on the basis of insights and boost their campaign with better suggested actions. Many users might use the same application but their needs might be different. CEO might want to see overall profitability of the company whereas Regional Sales Rep might want to see Sales figure of his local territory. EA has, thus, designed role-specific KPIs that gives users with a better way to analyze the data, derive insights and take immediate actions accordingly. 

 

Awaken the Data Scientist in you - Actionable AI and Einstein Discovery: As I mentioned before, we don't need reporting tool that spews only number after digesting numbers. Today's Analytics demand that Application guide them on 'Insights' to see, 'Predictions' to be made and 'Action' to take. Using multiple statistical analysis, Einstein Discovery infer the trend from huge datasets, establishes pattern and most importantly, presents them in easy to understand language - not just with numbers in equally confusing tables. Taking a step further, it also recommends action, generate slide presentation with rich visualizations and key talking points (Feels too good to be true! Isn't it? J ). What if you don't trust Einstein's Recommendation? Yes, you can be among those selected few. Well, EA doesn't stop here. It allows developers to see the algorithms and model for deeper understanding on how the predictions and recommendations were derived.

 

Stop Reinventing the Wheel: This is one more thing which is going to entice Developer, Consultants and the Clients. I had been associated with multiple Clients from Financial Services in my career. And while designing reports for many of them, I realized 40-50% reports were same. But then, every time, I had to create the same thing from ground zero. With Salesforce AppExchange, now all Consultants can put their new Einstein Analytics App and the new Developer can simply download this app, customize it and deploy. And Clients would also prefer this when they see Total Time to Deploy (TTD) has reduced significantly, thereby, saving $$.

 

Data Integrations: If you have managed to reach this point in the blog and still wondering - Features are good but what about source data? Einstein Analytics allow reporting on multiple datasources in addition to salesforce data. Using ETL Connectors e.g Informatica, mulesoft, Jitterbit, Boomi, snaplogic, etc - one can import data from various sources and EA then can create reports on multiple datasets created from them.

 

Albert Einstein might have changed the world in beginning of 19th century, but it will be Einstein Analytics that will redefine the Analytical World. And the best part - we had only one Einstein for the world then. But now, each of us can have our own Einstein Analytics for less than $75.

All in all, Analytics world look promising more than ever and we at Infosys, will take this Analytical revolution higher. As our consultants delve deep into Einstein Analytics more, creating apps and accelerators, writing success stories; we will keep our partners updated on how everyone can become a Data Scientist. Do comment your analytics stories/ queries and Watch out this space for further insights, discovery, implementation roadmaps and trends. Until my next blog - Happy Exploring !

Comments

This looks interesting.Does this also work on same data principles on Facts and Dimensions as in other reporting tool?

Very Interesting Read..Thanks for the post!

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