5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics
5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics If you want something done right, do it yourself – Anonymous. Readers of this blog would have, by now, grasped one fundamental aspect of data analytics – to fully adopt a culture of Self-Service Analytics, an organization needs two elements – people and… Continue reading 5 Reasons Why Your Enterprise Must Adopt a Culture of Self-Service Analytics
Data Translators: Why are They Important in Analytics
This new breed of professionals are becoming crucial in ensuring that decisions in an organization that has deployed data analytics are really based on the analysis. Many organizations are today investing not only in data scientists who understand how to analyze data, but also in data translators who can help the analytics team and the business end users work in sync.
The Role of Digital Marketers in Mobile Data Analytics
Over the last few years, research after research has shown that marketers have started putting mobile, apps as well as mobile-friendly websites, at the forefront of their integrated marketing strategy. While new research has only underlined the importance of mobile devices in a marketing campaign, what was unexpected was that even on matters of marketing, IT teams seemed to have a leg up over their marketing counterparts.
How Natural Language Processing is Helping Democratize Business Intelligence
A minuscule percentage of those in the business of providing BI solutions have adopted NLP and adapted it to generate results for Enterprise clients. While the figure may be small today, advancements in the field are bound to push the number up.
The State of Natural Language Processing Today
Readers of this blog may have realized that Natural Language Processing (NLP) was missing from our ‘5 Data Analytical Trends To Watch For in 2018’ post. Our in-house team of predictive data analysts say it lost out to the other trends by a narrow margin. But that in no way takes away from the importance of NLP and its growing influence in the world of big data analytics. The loser by a whisker surely deserves an honorable mention, hence this 2-part post.
5 data analytics trends to watch out for in 2018 – A slideshow
2017 has been an eventful year for Big Data and data analytics. So what can we look forward to in the new year?
Fashion, Weather and Predictive Analytics
Wondering how the words, fashion, weather, and predictive analytics are connected (fashion weather and predictive analytics)? Here’s a poser – what is one of the biggest challenges before the global fashion industry today? Weather. You wouldn’t have guessed it, right? Pick up any fashion magazine, read any fashion portal, white paper…. you name it, unpredictable… Continue reading Fashion, Weather and Predictive Analytics