By: Brad Lathrop
How the COVID-19 Pandemic Is Impacting Data Industries
We wrote an article earlier this year that discusses three of the most important business intelligence trends for 2020, which were derived from an excellent annual research study called the “BARC BI Trend Monitor”. The study found that Master Data Management / Data Quality Management continues to be the “most important trend category” amongst business intelligence professionals today, that companies across the globe are increasingly creating data-driven cultures, and that self-service business intelligence is decreasing in importance.
We wrote that article in early February 2020, so less than six months ago. Talk about change! The COVID-19 pandemic has impacted so much so quickly, and one industry it has certainly affected is the data industry. For instance, 30% of data professionals “said they need to update their models and other analytics to deal with changing customer behaviors” due to the pandemic’s far-reaching impact (TWDI).
The COVID-19 pandemic has also “led to a hyper-connected world and the growth of the Internet of Things (IoT)” (Business Wire). The global Internet of Things (IoT) industry is expected to grow from $150 billion in 2019 to $243 billion by 2021, with the key drivers of growth being “increasing focus on remote monitoring for the work from home initiative, growing adoption of smart payment technologies to minimize human contact involved in cash payments, and rising demand for wearable devices” (MarketsandMarkets Research).
Bernard Marr’s Top Business Intelligence Tools for 2020
With the COVID-19 pandemic bringing so much change to our world and the various industries within it, it’s important to understand what BI and analytics tools are worth your organization’s investment so that you can best succeed.
Bernard Marr, best-selling author and data advisor, has written an insightful LinkedIn article that details his choices for the best BI and analytics tools on the market today. Here’s his list:
- Microsoft Power BI
- Oracle Analytics Cloud
- IBM Cognos Analytics
- Apache Spark
- Salesforce Einstein Analytics
- SAS Viya
To learn more about these tools and why they were selected as the best, be sure to read Bernard’s article, found here.
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