Blog about Nora Elmaliah: page 1 of 1

Blogroll Nora Elmaliah - page 1 of 1

Blog about Nora Elmaliah: page 1 of 1
Passionned Group is a leading analyst and consultancy firm specialized in Business Analytics and Business Intelligence. Our passionate advisors assist many organizations in selecting the best Business Analytics Software and applications. Every two years we organize the election of the smartest company.

Top 9 BI trends and AI trends for 2020

BI and AI are are becoming an inseparable dynamic duo. This makes sense when you consider that both disciplines support the business in taking critical business and operational decisions. This duo is also fueled by the same thing: (big) data. Although BI and AI each have their own goals, applications, and issues, we're seeing several converging trends that will dominate the twenties. Our top 9 of technology trends combines business intelligence trends with big data trends and data analysis trends. Trend 1. "AI-first" strategies will dominate

7 Business Intelligence & Big Data trends for 2019

Data is becoming a bigger presence in our lives every day, whether we know it (or like it) or not. Naturally, this doesn't just affect individuals, but businesses too. Smart use of data separates the winners from the losers. The most prominent Business Intelligence trends for 2019 are all about (use of) data, and above all: using data responsibly. Datacratic working brings passion and joy back to the workplace. Connect data with continuous improvement and PDCA, and your organization will flourish. Becoming a true datacracy is the end goal that every organization should strive for. In this scenario, every decision will be supported by relevant data which is collected, stored, and then analyzed. This frees people from the drudgery of indecision and tyrannical managers who loudly proclaim their opinions while managing on gut feelings.

The 7 biggest Big Data pitfalls

Big Data has many potential advantages. It can provide new insights into consumer behavior, show you in which areas the organization can work more efficiently, predict future changes, and much more. However, many companies forge ahead into Big Data without being adequately prepared, and charge straight into a pitfall. Research shows that about 60% of Big Data projects stumble out of the starting blocks. How can you make sure that your organization doesn't become a statistic?

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