Chapter 7. The Way Forward
Data is one of a modern business’ best assets. The irony is that as data volumes have grown, wrangling with—let alone capitalizing upon—data has become a struggle for many. Knowledge graphs are a tool that we can use to restore sanity to data by imposing an organizing principle to make data smarter. Through the organizing principle, businesses can reason about their data and bring together silos of disjointed information to form a consistent basis for business activities.
For each of us in business, there’s a role to play. Business leaders must champion their data as one of their most strategic assets and boost efforts to increase its volume and usefulness, while data professionals carry the bulk of the workload in turning strategy into reality.
Governance and compliance teams will seek to understand the provenance and logistics of data through the enterprise and ensure that it is used compliantly. They will drive automation over the knowledge graph to achieve this goal. Analytics teams will find new ways to extract insights from data. They will become adept at building and using analytics tools and ML techniques to make the smart data in knowledge graphs work as hard as possible. Digital teams will create new business and revenue opportunities bottom-up by using knowledge graphs to support myriad higher-level services.
Throughout this book, we’ve shown how knowledge graphs help businesses harness connected data to drive business value. We’ve shown how ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access