Toward the end of 2017, Harvard Business Review published its annual list of “Best-Performing CEOs in the World”, based on a number of HBR’s chief executive ranking metrics.
Maintaining core categories of enumerated reference data is an important aspect of any enterprise data management program. For everything from country lists to entity types, clients need to administer key reference data categories for leverage by the data model domains for entities, people and products.
Managing updates to enterprise data through the governance of a workflow process is critical to any enterprise data management program. A properly designed workflow ensures only the appropriate client users are authorized for performing specific data updates throughout the data management lifecycle.
The management of business rules governing the quality of data is key to any use case involving enterprise data management. Clients want to manage a variety of data quality business rules and apply them to workflow processes, for providing a consistent approach to data quality management.
One of the greatest movies about invention over the past 35 years has to be “Back to the Future.” Who could ever forget about time travel via the flux-capacitor-equipped DeLorean in this pop culture classic? The thrill of discovery and persistence through initial failures is what drove Doc Brown’s pursuit of his invention throughout the entire movie.
The Inventor, our third cognitive persona in this series, was inspired by this same thrill of discovery evident within Doc Brown’s passion for invention, with even more relevant Kingland inspiration coming from our passion for data. The Inventor’s role within our Cognitive Platform is to discover literally anything of interest from a “mountain” of data – trends, relationships, quality issues, and more.
Topics: Text Analytics
My Dad’s favorite advice to me growing up was “Be a Gentleman and a Scholar.” If I didn’t hear that daily, I heard it at least once a week. During the 22 years of my kindergarten-through-college student life, it was a very quick way of saying:
It took 5 years, the formation of a specialized team and many hours of work for Kingland to move from a maturity level three to maturity level five from the CMMI Institute. And the company did that while embarking on an agile journey.
Fewer than 55 U.S. companies have achieved a maturity level 5 appraisal rating from the CMMI Institute as of June 2018. This appraisal means Kingland is focused on continuous improvement and is built to pivot and respond to opportunity and change, according to the institute.
"This gives us predictability in how we deliver solutions for our customers," said Kingland Chief Strategy Officer Tony Brownlee. For example, a company can ask, "What's your process and your software development cycle?" Kingland can provide a program guide, answer requirement questions, and show clients that the company has rigorous, time-tested, and controlled processes that can deliver what a client needs.
I’ve collected sports cards ever since I was 11 years old. Something about amassing and organizing a collection of cards that chronicled the bios and stats of my favorite sports stars always appealed to me. Included early on in this collection pursuit was a bonus lesson on the basic laws of supply and demand – generally speaking, the tougher the sports card is to pull from a pack of unopened cards, the higher the market value. The most popular sports stars create the most demand, also driving market value higher. I still remember the exact moment 25 years ago in 1993 when I pulled a rare (at the time) card of Michael Jordan from a pack of basketball cards – the perfect combination of scarcity and star power! The card immediately vaulted to the top of my collection.
Where is Kingland focused within the overall Cognitive / AI / Machine Learning space? Our passion and investment are in two primary areas:
- Extracting data / important information out of unstructured content
- Learning from vast amounts of data to make discoveries and decisions
Examples of Enterprise Data Management Requests
Regulatory documents, government registries, corporate sites, news and industry trade journals, product documents, you name it – they all represent important sources that contain an incredible amount of valuable data, insight, sentiment and analysis that is ripe for processing. Clients approach Kingland because of a great opportunity for efficiency – they typically already staff teams of data / business subject matter expert analysts to manually extract data and information out of these types of unstructured sources, yet they continue to pursue higher quality, better timeliness, and more productivity from these teams when managing data from such sources.
Historical data from the enterprise data management programs within our clients offer a level of quality management and predictive capabilities, if harnessed appropriately. In one example, legal entity data that has been classified with NAICS codes can offer machine learning opportunities to build models that can verify the classification accuracy of millions of entities, including additionally predicting the NAICS classifications of newly onboarded entities. In another example, retailers benefit from recommendations learned from past consumer behavior, for the benefit of timely product and complementary offerings.