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Hi I’m Jared Hillam, I’ve been in the Business Intelligence space
for over 10 years now, but I still find it hard to carry on small talk with the average
Joe about what exactly I do for work. So for all the Joe’s out there that really want
to know what Business Intelligence is, you’ve found the right video.
First I want you to imagine that you went to your favorite store to buy some stinky
cheese. When you pay for your cheese and walk out, you may or may not know that your favorite
store has gathered some new data about the stinky cheese you bought, at what time you
bought it, and how much you bought it for. Now I want you to put yourself in the shoes
of the Director of Stinky Cheese Supply for your favorite Store. Day in and day out He
has to figure out how many blocks of stinky cheese He should be ordering. The only possible
way for him to make an educated guess about this, is if He knows how many are being purchased
by customers. Now, as the data sits today, the Director of Stinky Cheese would have to
look at every single transaction made throughout each day to see how much stinky cheese was
purchased. But this takes up way too much time, and since this is a decision the Director
of Stinky Cheese has to make every week, He decides to use a Business Intelligence tool
to provide that information. The use of a Business Intelligence tool allows for information
to be regularly rolled up and formatted just right so the Director can make a much more
educated decision about how much stinky cheese to purchase. Additionally, now that the Director
has more time on his hands He can analyze in much further detail.
So basically you can think of Business Intelligence as the process of going from raw data to legible
information. Now consider how broad the Business Intelligence space is. For Example, Have you
ever received a receipt from an ATM machine that provides you a current balance in your
bank account? Or perhaps have you ever received a detailed bill in the mail? These are all
forms of Business Intelligence (or BI). Let’s take some time and go over some common forms
of BI: First, let’s talk about Operational Reporting.
This form of reporting is a kin to the detailed bill in the mail or your ATM receipt. It provides
a very structured template of how the data is to be delivered to the end user. The end
users experience needs to be considered in a lot more detail as the path of analysis
and how the person will consume the data are typically nested in the report templates.
Second, we have Ad Hoc reporting. This type of reporting is intended to empower a business
person to play the report authoring role. By doing this, the look, feel, and content
of the report can be controlled by its consumer. Most Ad Hoc tools have built in assumptions
regarding design and navigation, to keep the business person from getting overwhelmed with
complexity. The queries and their structures are maintained by IT and are developed jointly
with business user inputs. Third, we have OLAP Analysis. This type of
analysis delivers pre calculated and pre structured data sets for business people to explore.
Many tools that connect to OLAP feel more like data navigation tools than pure report
authoring tools. I’ve released a much more comprehensive video about OLAP, on the Intricity101
channel, which is titled “What is OLAP”. Fourth, we have Data Visualization. This is
a category that has recently emerged in popularity, and covers a realm in BI which I like to call
microdecisions. In Data Visualization the roll up of data is commonly conducted algorithmically
and stored in memory. This makes the experience of BI far more plug and play in nature. And,
it also allows the business to answer one off questions in a much simpler way. Because
the roll up of the data commonly occurs automatically, it also tends to be very processor and query
intensive. Fifth, we have Dashboards. As you’d expect,
Dashboards typically represent a high level view of an organization. This keeps the executive
from having to thumb through hundreds of reports and data elements. If a troubled area arises
in the dashboard, the executive can drill into the alert to see a more detailed report.
Often dashboards are simply compositions of the various data delivery methods we just
discussed. Each of the delivery methods I’ve described
above typically come as part of a suite or platform for managing the various forms of
content. This means everything from scheduling automated report delivery to keeping the data
secure are all conducted in a single platform. Now I’m sure there are another dozen or
so forms of Business Intelligence, this video isn’t meant to cover every way you could
consume data. But hopefully you can get a sense of some common ways businesses are turning
raw data into comprehensible information. However, the Business Intelligence front end
is really only the tip of the iceberg. The real work in delivering consistent information
happens behind the scenes in Data Marts, and Data Warehouses. Commonly if a business is
unhappy with their Business Intelligence tool, something is usually wrong in the back end
Data Warehouse. Now that you’ve watched this video I recommend
you take a look at my video on Data Warehousing, just so you have a good understanding of how
important that data foundation is. Intricity has lead the way in Business Intelligence
since before the industry had a common name. We have a long list of very enthusiastic customer
references about our Business Intelligence capabilities, and we have been the pioneers
in designing the backbones to some of the most popular Business Intelligence platforms.
I recommend you visit the Intricity website and speak with one of our specialists. We
will bring value from day one.


What is Business Intelligence?

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Tao Huang 2016 年 11 月 4 日 に公開
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