Business Intelligence vs Analytics

My collegue Sandeep Raut has a very simple blog-post explaining the differences between traditional BI and Analytics. Summarizing a few key points from the blog below.

"BI traditionally is concerned with creating reports on past data or even current live data. We create OLAP cubes using which we can slice & dice the data, even do a drill down. Analytics is about analyzing the data using mathematics/statistics to identify patterns. These patterns can then be used to predict what may happen in the future. Analytics is about identifying relationships between key data variables that were unknown before. It is about surfacing unknown patterns."

But in my humble opinion, should Analytics not be a subset of BI? I can understand the hype that product vendors create to differentiate their products in the market, but can Analytics exist in isolation to BI? Even predictive data analysis using "realt-time" data/text mining techniques would logically fall under BI....
After all BI is all about meeting business needs through actionable information !
Maybe it is just a game of words and semantics. I remember a few years back, the term DSS (Decision Support Systems) was more widely used than BI :)

Operational Reports vs MIS Reports

Once organizations create a data warehouse, a lot of people push all the reporting needs to the DW. But do all reports need to run from a DW?
The answer lies in understanding the difference between operational and informational (MIS) reports. A good article by Bill Inmon on this difference can be found here.

Operational reports are typically detail oriented and shows the latest up-to-date records. Operational reports are used by stakeholders for short term tactical decision making. MIS reports look at summary data over a longer time horizon and are used for strategic decision making.

Examples of operational reporting include bank teller end-of-day window balancing reports, daily account audits and adjustments, daily production records, flight-by-flight traveler logs and transaction logs.

Examples of informational reporting include monthly sales trends, annual revenue, regional sales by product line for the quarter, industry production figures for the year, number of employees by quarter and weekly shipping costs by carrier.