Okay, so, Data Analytics and Business Intelligence, huh? it company . Sounds kinda intimidating, doesnt it?
Data Analytics and Business Intelligence - check
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But honestly, it aint rocket science, well, not
always.
managed it security services provider The gist of it is this: you got loads of data, right? Like, a
ton of it.
check Business Intelligence, or BI, is all about using that data to figure out whats happening
now and maybe what happened
before.
managed services new york city Think reports, dashboards – stuff that shows you in a pretty picture what the sales team did last quarter, or how many customers are visiting your website each day. Its more about descriptive stuff, understanding the current state of affairs, yknow?
Data Analytics, on the other hand, its a bit different. Its not just about whats happening; its about why its happening and, crucially, what might happen next! managed it security services provider Were talking digging deeper, using fancy algorithms and statistical models to find patterns, predict future trends, and even figure out if that new marketing campaign is actually working or if it is just a fluke.
Data Analytics and Business Intelligence - managed services new york city
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Its about uncovering hidden insights, the stuff you wouldnt see just by looking at a simple report. It involves a lot of hypothesizing and testing.
managed services new york city They aint completely separate though! BI often feeds into Data Analytics. You cant predict the future if you dont understand the present and the past, duh. So, BI provides the foundation, the raw material, and Data Analytics takes that and runs with it, trying to anticipate whats coming down the pike.
Now, dont think this is only for big corporations! Even a small business can benefit.
Data Analytics and Business Intelligence - check
Knowing your customers, understanding your market, and making smarter decisions based on actual data, rather than just a gut feeling, can make all the difference.
managed service new york Its about gaining a competitive edge. And, like, who doesnt want that!
