Do you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration? A scarcity of data scientists will no longer hinder the […]
DataOps and Scalability: The One-Two Punch for Creating Successful Data Products
Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these […]
Dark Data: Surprising Places for Business Insights
A recent AI and Information Management report has shown that 64% of organizations manage at least 1 petabyte (PT) of data, and 41% manage at least 500 PTs. In itself, this is perfectly fine – data is the new oil, after all. The problem is, however, that anywhere between 40% and 90% of this data ocean remains dark, which […]
Thinking Like a Data Person: Strategies for Better Decision-Making
Today, data is no longer used for just operations and compliance; it is the driving force behind a company’s strategy and performance. To leverage data for improved business performance, employees must think like a “data person” – a data scientist or a decision scientist. But what exactly is a data person, and how can a […]
How Collaboration Between Data Engineers and Data Scientists Unlocks Actionable Insights
In today’s rapidly evolving data landscape, organizations must make sense of the overwhelming amounts of data generated daily. The roles of data engineers and data scientists are central to this mission. They each require distinct skill sets that, when combined, can create a powerful synergy. As a seasoned data professional, I have witnessed how effective collaboration between data engineers […]
The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation
From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social […]
How Data Science Skills Can Advance Your IT Career — and How to Build Them
The data science landscape has changed considerably in the last few months. The rise of AI tools and user-friendly data platforms has democratized access to data-driven insights, giving even non-experts access to an essential toolkit that enhances efficiency and decision-making. As data science becomes more integral to business operations, employers expect data literacy from more […]
How to Ask Great Questions with a Data Science Lens
When it comes to solving business problems, data scientists understand how crucial it is to formulate the right business question. While it’s easy to get sidetracked by intriguing data trails, the most effective questions are those that align closely with organizational priorities, provide actionable insights, and guide strategic decisions. Here are the key principles for crafting high-impact […]
Data Concierge: Driving Business Intelligence Collaboration
Discerning businesses are ensuring each area of their organizations has access to performance metrics. Armed with data, their teams can accelerate decision-making, respond to client and marketplace demands, and mitigate risks. The issue is many organizations have segregated data environments. Each department often has its own data management platform that may not integrate with other […]
What Is PMML and Why Is It Important?
You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and […]