With 2022 well underway, many businesses are deploying new data-driven strategies and models to promote growth, accelerate digital transformation, and increase operational efficiency. However, to maximize success, enterprise leaders must incorporate decision intelligence and data-driven insights into their decision-making processes. Decision intelligence is an approach that can help ease the burden of data analysis and […]
Data Ethics – From Abstract to Action
It’s not surprising businesses are starting to sit up and take note of data ethics. The headlines provide a stark reminder of why it’s important. Whether that’s certain customers paying much higher insurance premiums, AI hiring systems favoring white men, risk assessment tools sending the wrong people to prison, or credit card companies giving lower credit ratings to women. Any organization […]
Guide to Building a Data Strategy Framework
Your data strategy is only as good as the framework supporting it. If you don’t have a framework in the first place, you won’t have a strategy. This isn’t something that is necessarily complicated to plan out, but it can be confusing to know what exactly constitutes a good data foundation. With that in mind, below […]
The Semantic Layer Goes Mainstream
The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits. The fact that industry leaders are discussing the need for a semantic […]
How Analytics Shapes Our Music Tastes in the Era of Digital Streaming
Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]
Eradicating Broken Data Integration Approaches to Unleash Advanced Analytics
As enterprises continue to struggle with the effects of the global pandemic, the modern data analytics stack is undergoing a shock of its own. The world has changed, and we’re living in a new hybrid multicloud reality. Lower levels of the IT stack, which is to say, data centers, networks, raw storage and compute, are […]
Using Big Data Analytics to Combat White-Collar Crime
In the era of globalized markets, burgeoning international trade, complex financial systems, ever-evolving compliance and regulatory landscapes, and rapid technology advancement, white-collar crime has unfortunately seen a significant uptick in scale, variety, and sophistication. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […]
How to Use Data Analytics to Gain Valuable Insights with Limited Data
Every modern business professional understands the importance of data. Data can separate the forest from the trees, providing business leaders with a new perspective. From valuable insights regarding customer satisfaction to understanding vital improvements that you can make operationally, data analytics can provide a huge return on investment. However, many businesses shy away from Data Science and analytics because they feel […]
Will They Blend? Microsoft SharePoint Meets Google Cloud Storage
In the “Will They Blend?” blog series, we experiment with the most interesting blends of data and tools. Whether it’s mixing traditional sources with modern data lakes, open-source DevOps on the cloud with protected internal legacy tools, SQL with NoSQL, web-wisdom-of-the-crowd with in-house handwritten notes, or IoT sensor data with idle chatting, we’re curious to […]
4 Reasons Data Scientists Leave (and How to Retain Top Talent)
The demand for Data Science talent far exceeds the talent pool, making employee retention challenging. Demand is expected to remain high throughout 2022, providing ample opportunity for talent to move upwards through competing organizations. A vast amount of project familiarity and understanding is built on the backs of data scientists and is lost when they […]