Are you evaluating whether Data Mesh is a good fit for your organization? Then it’s worth checking out this brief write-up on how business, not IT, will accelerate data monetization. We’ll dive into a data strategy that unifies IT and business teams around business outcomes.
Central to this discussion will be an emphasis on the Data Mesh framework and the concept that no code/low code visualization tools play a key role in enabling business users with no programming experience to apply their domain expertise to generating business outcomes.
Can you put forth a strategy that places your business team as…
Accelerating Predictive Capabilities
For the last 60 years, psychologists have done the initial testing and validation on what good science looks like when it comes to people. Over the past several decades, however, most companies have ignored it; and even further, they have systematically underfunded, devalued, and all but eviscerated most critical HR functions.
This leaves companies long on financial capital and short on human capital.
“People in both fields operate with beliefs and biases. To the extent you can eliminate both and replace them with data, you gain a clear advantage.” ― Michael Lewis, Moneyball: The Art of Winning an Unfair Game
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Du Bois offered an alternative point of view to the prevailing belief that black people were unequal to whites using data. He successfully sourced and presented data in novel, compelling ways to change his audience’s perspective.
Realizing the limitations of traditional charts, he designed atypical forms of data visualizations to demonstrate his case. This allowed him to influence a massive European and global audience. This is essential historical research for any data science professional who aims to build cohesion with other teams, from different departments to the executive board.
The problem of the twentieth century is the problem of the…
Developing answers without data is inherently difficult.
The benefits of working at Thinknum gives me access to millions of private and public companies globally. As I sit back and sift through Thinknum Alternative Data, I get quick answers to my questions. It hasn’t always been this easy.
Our story starts in 2013 with Gregory Ugwi. Operating as a non-agency mortgage strategist at Goldman Sachs, he was among a group of elite analysts. An important aspect of Greg’s job was finding the best available data so that Goldman Sachs could stay ahead. He found that the internet was a great source…
When you short a stock 130%+, you’re not just betting on companies to fail. You’re betting on people losing their jobs and their inability to put food on the table. For many, it’s bigger than sticking it to hedge funds; they’re efforts could give GameStop enough wiggle room to keep paying their people and trying to reinvent their business model.
EDIT: since the time of this article, the US Gov’t has taken action.
How do I know all of this? Well, I went viral in the WSB subreddit.
Please note I am not a financial advisor and none of the…
Part 1 of this article series covers the philosophy, culture, and success stories underpinning firms and individuals who’ve successfully operationalized data to gain a competitive advantage.
In last week’s webinar, hosted by KgBase, Data Chef, François Scharffe, overviewed the construction process for knowledge graphs, looking at where automation and good UI can streamline the process.
Building knowledge graphs for many types of organizations from government, academics, startups, to large corporations — wisdom is imparted on problems and complexities that arise when building knowledge graphs.
Scharffe mentions two critical skill sets for an ontologist: technical and organizational. The ontologist must be:
- A well-informed information scientist.
- A domain expert with business expertise who can translate a formal model.
Central to his discussion is the character, Alice, a…
Abdus Salaam Muwwakkil
Abdus helps data leaders and innovative business teams execute on strategic objectives to deploy big problem solving solutions across emerging markets.
