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BI is an overarching framework used by businesses to prepare data for analytics reporting and AI use cases, which in turn support business operations and decision-making. Defining the differences between business intelligence, artificial intelligence and analytics often poses a challenge to many people. For many business processes, there seems to . . . Read more
The top BI tools of 2023 are Tableau, Microsoft Power BI, Qlik, Sisense, Zoho Analytics, Google Looker, Domo and Sigma. Compare their pricing, pros and cons to determine which is the best tool for your business. Business intelligence tools are increasingly vital in the modern business landscape, as they provide . . . Read more
BI tools help businesses improve their decision-making and efficiency. See the steps involved in BI, pros, cons, types of BI tools and some of the top BI tools in the market. Pros Cons Enhance strategic decision-making. Include high initial and maintenance costs. Streamline business processes. Require specialized skills and training. . . . Read more
Image: ArieStudio/Adobe Stock Kelly Brough, director of applied intelligence at Accenture Australian enterprises are moving into a “readiness” phase of generative artificial intelligence adoption and will be relying on IT leaders to work with internal and external partners to bring their expansive vision to life, said Accenture’s Director of Applied . . . Read more
Image: VectorMine/Adobe Stock Company leaders looking to gain a competitive edge can prioritize data literacy for employees across departments and at all levels within their organization. But from raw data to business outcomes, data literacy is ripe with challenges. The amount of data businesses generate is only as impressive as . . . Read more
The demand for data scientists is projected to grow by 36% from 2021 to 2031, according to data from The Bureau of Labor Statistics. Within this period, about 13,500 job openings will be available each year. This goes to show that data scientists are still in great demand in 2023. . . . Read more
Image: THANANIT/Adobe Stock AWS Head of Innovation for SMBs, Ben Schreiner reminds business leaders to focus on data and problem solving when making decisions around generative AI. Generative artificial intelligence is a hot topic, but many of the things it can do seem very similar to yesterday’s predictive algorithms or . . . Read more
Data recovery is a process involving the retrieval of deleted files from a device’s hard drive. This can entail data that was stored on workstations, laptops, mobile devices, servers, cameras, flash drives — anything that stores data on either stand-alone or mirrored and arrayed drives, whether internal or external. In . . . Read more
Data ingestion and ETL are often used interchangeably. But, they’re not the same thing. Here’s what they mean and how they work. Today’s businesses have increased the amount of data they use in their daily operations, allowing them to meet growing customer needs and respond to issues more efficiently. However, . . . Read more
Data analysts can help build accessible and effective data models by defining business requirements, working with IT and data scientists, and testing data model results. A good data model accounts for the context of the business process it must address and then addresses that context with the types of data . . . Read more