Never Lose Sight of Business Objectives
Posted: Tue Feb 11, 2025 6:25 am
This is where knowledge graphs come in – they allow you to combine disparate ontologies and look at your information through that overlapping lens. This matters for many reasons, not the least of which being that it broadens the range of people who can execute complicated queries: You no longer need to be fluent in best SQL practices to acquire important insights.
The revenue implications are significant here regardless of industry. For instance: manufacturers. Right now, many manufacturers are focusing less on acquiring new clients and more on optimizing revenue taiwan whatsapp number data from existing ones. Proper deployment of knowledge graph architectures in this context can help flag things like improper discounts or the potential for CPI increases, handily increasing profit with a minimum of extra spend.
Overcoming Implementation Challenges:
So, what’s the best approach for businesses who want to revamp their data operations along these lines?
Think in terms of data as opposed to applications, look for integrated solutions, and create a data-centric company culture.
That last point is important. Too often, data initiatives get bogged down in “plumbing” and effectively become IT projects disconnected from broader business goals.
I’ll illustrate this with a story – a composite, but one that is far from implausible.
A large healthcare provider decides it wants to investigate incidents of deaths in ambulances en route to the emergency room. The endless plumbing begins and after one year of incalculable effort, a team of 20 people manages to answer the question.
The revenue implications are significant here regardless of industry. For instance: manufacturers. Right now, many manufacturers are focusing less on acquiring new clients and more on optimizing revenue taiwan whatsapp number data from existing ones. Proper deployment of knowledge graph architectures in this context can help flag things like improper discounts or the potential for CPI increases, handily increasing profit with a minimum of extra spend.
Overcoming Implementation Challenges:
So, what’s the best approach for businesses who want to revamp their data operations along these lines?
Think in terms of data as opposed to applications, look for integrated solutions, and create a data-centric company culture.
That last point is important. Too often, data initiatives get bogged down in “plumbing” and effectively become IT projects disconnected from broader business goals.
I’ll illustrate this with a story – a composite, but one that is far from implausible.
A large healthcare provider decides it wants to investigate incidents of deaths in ambulances en route to the emergency room. The endless plumbing begins and after one year of incalculable effort, a team of 20 people manages to answer the question.