What Businesses Want From Business Intelligence Software
Business intelligence is a broad topic. Querying and reporting have been BI
bread and butter for some time, but other techniques and methodologies have
recently come under the BI umbrella: extract, transform, and load (ETL), data
federation, real-time analysis - you get the idea.
Similarly, the number of industries beginning to use business intelligence is
vast. Healthcare is harnessing predictive analytics to identify and treat
high risk patients to reduce hospital admissions across entire patient
populations. Automakers are using data from thousands of sensors along the
production line to optimize both speed and precision. Zoos are even using
geospatial data to uncover which exhibits are most popular with visitors.
That's right, even the red lemurs aren't immune to data analytics.
With so much versatility - n... (more)
In 1999, technology pioneer Kevin Ashton coined the phrase "Internet of
Things" (IoT) to refer to the concept of "connecting any device with an on
and off switch to the Internet (and/or to each other). This includes
everything from cell phones, coffee makers, washing machines, headphones,
wearable devices and almost anything else you can think of." The IoT can also
encompass car and plane engines, gas and oil wells, fitness tracking devices,
and thermostats. In a 2014 New York Times article, writer Jeremy Rifkin
stated, "Today more than 11 billion sensors are attached to natural ... (more)
Behavioral economists theorize that "when presented with many options and
little information, people find it difficult to make wise choices." This is
the root of the movement to incorporate Big Data into the classroom. By
compiling student data from an early age, we are able to better understand
learning processes and identify issues, ultimately resulting in wiser, more
informed decisions. Now when a teacher threatens that "this will go down on
your permanent record," they really mean it.
The widespread adoption of tablets and devices in schools lets us track key
performance ind... (more)
Choosing when to adopt a data warehouse largely depends on how easily and
effectively your organization can manage multiple data sources. When you do
decide to combine all data sources into one central location, the decisions
become more uniform. You can, of course, approach the integration of all data
sources into a data warehouse in your own way, but if you’re not careful,
you could create more problems than you solve.
To extract your data and load it into the new data warehouse, there are some
basic must-follow rules that help avoid problems down the road. This process
is oft... (more)