2022 Dashboards Data-driven ROI 
Smart Data Collective
DECEMBER 17, 2021
Business Intelligence is the collection, storage, analysis, and reporting of data to make better business decisions. It can refer to predictive analytics or even “big data.” Business Intelligence is the process of using raw data and analyzing it to get insights into a company’s performance.
CIO Business Intelligence
JUNE 27, 2022
Therefore, CIOs must be cautious about taking metrics at face value [and] leaders need to understand the data behind the metrics.”. When studying a metric, it’s important to know who created it and the data source. It’s important to understand the research and data behind the metrics,” Hurwitz says. Going it alone.
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IBM Big Data Hub
SEPTEMBER 6, 2023
From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Content generation: The recent launch of OpenAI’s generative AI platform ChatGPT in November of 2022 has prompted a flood of new use cases for AI.
Jedox
APRIL 23, 2020
Data-driven analytics to speed up decisions and actions. According to Gartner’s 2020 SPM report, 40% of B2B companies with over 100 salespeople will have an SPM solution in place by 2022. Fixed Data Model. Current SPM tools are built with somewhat static pre-determined data model as core part of the system architecture.
Andrew White
JANUARY 9, 2022
On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.
datapine
DECEMBER 11, 2019
“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. How will AI improve SaaS in 2020?
Smart Data Collective
JANUARY 27, 2020
billion by 2022. Both AI and BI are deployed by collecting and analyzing large volumes of data. They both are aimed at easing the working process, releasing from manual work, speeding up the decision-making process, and making it more data-driven. The problem that comes along with this amount of data is its storage.
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