The financial industry is undergoing a rapid transformation due to the emergence of innovative AI applications. Let’s take a look at how AI-powered analytics is driving this change.
The need for Analytics in Sales function has resulted in the growth of the overall market for predictive analytics applications. At present, there are dozens of Sales Analytics solutions available in the market.
It takes a lot of effort from diverse teams across the organization to get $4M revenue into the system but it just takes one Sales Manager to lose the same amount of money! CEB recently reported that a failed Sales Manager would cost the company $4M.
A recent report by State Of Sales* revealed that only 21% of sales people are currently using AI in their processes. However, given the demand for tech-friendly assistance, the experts are expecting these numbers to grow by 155% by 2020, in the UK alone.
AI – Artificial Intelligence, Machine Learning, Machine Intelligence, Thinking Machines, Knowledge Engineering, Natural Language Processing – unless you have been living under a rock these past few years, you have heard one or more of these terms multiple number of times.
Stats from Hubspot and salesforce.com suggest that there are several gaps in enterprise sales effectiveness and performance. Here’s how you can fill these gaps.
What if you had AI-powered sales assistants to help you get through various sales processes? This idea will probably come to fruition sooner than you think!
Traditional algorithmic solutions around structured data have gained and continue to gain traction:
Matt Hellman a Transformation Leader at Microsoft writes in a September 2018 article titled, “How AI is transforming sales and marketing” in The Marketing Journal.
So, a long time ago, when I was a kid, I asked my dad, “What is the best way to make money?” I expected an answer in the lines of “Become a Politician or an Actor or an Entrepreneur”. But what he told me was completely different and it still stays in my mind.
It is an essential activity for every business to identify and analyze brands, products, services or attributes that have the greatest influence on the final target achievement. It also enables organization leaders to get an idea of the possible impact on business outcomes if they work on different factors that drive performance for a business or organization. Key driver analysis helps in solving this problem by recognizing the importance of utilizing data to make evidence-based decisions.
I spent a lot of my college days playing this incredibly brilliant and additive game during my days – Age…