The Self-Learning Enterprise: Staying Competitive in the Digital Era
Businesses have seen constant technological evolution in the last
couple of decades, moving from process-driven on-premises applications
(E.g. ERP, CRM), to Cloud and SaaS efficiency, and in recent times
incorporating big data, Artificial Intelligence (AI) and Machine Learning (ML).
Even though vast amounts of data can now be collected cost effectively,
real business value lies in continuously organizing data across siloed
sources and channels, to operate more efficiently and improve results.
But IT and business teams, and their use of technologies, are also siloed.
While IT focuses on initiatives such as standalone Master Data Management
(MDM), big data lakes, AI and ML projects, business teams invest in their
own SaaS applications and tools for self-service speed and agility.
In the face of new revenue models, regulations, mergers & acquisitions,
businesses still have to deliver to high customer expectations.
Tech titans like Facebook, Amazon, Netflix and Google lead the way
on the strength of their use of data and insights. They learn from their
data, actions and results to measure and improve. High churn of old
business models indicates that a major shift towards not just being more
data-driven, but evolving to a Self-Learning Enterprise is essential for survival.
Self-Learning Enterprises recognize that data needs to be at the heart of
every decision, and more data requires ongoing organization into a reliable
data foundation. Use of a Self-Learning Data Platform with built-in advanced
analytics, Machine Learning and Artificial Intelligence delivers a unified
data set with unlimited personalized views for all business teams. A
Self-Learning Enterprise continuously learns about customers, products, and
their relationships to deliver role and goal-based recommended actions to meet individual, team, and company objectives.
In the digital era data is not a company's biggest asset if it's not reliable or used correctly. Continuous data organization combined with self-learning is the key to success. This paper provides a framework to evolve into a Self-Learning Enterprise.