UNIT-5
Business intelligence implementation-Business Intelligence and integration
implementation-connecting in BI systems- Issues of legality- Privacy and ethics- Social
networking and BI.
1. Business intelligence implementation (REFER TO UNIT-3 NOTES)
2. Social networking and BI (REFER TO UNIT-4 NOTES)
3. Business Intelligence and integration implementation
Business Intelligence is the practice of collecting and analyzing data and transforming it into useful,
actionable information. In order to make good business decisions, leaders need accurate insights into
both the market and day-to-day operations. Business Intelligence uses methods and tools like
machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports.
But how exactly to implement BI into a company? What kinds of BI tools are available? This article
aims to outline the process.
Pitch to Key Players
Because employees of many different departments will be involved in managing the data in business
intelligence, everyone needs to be on the same page before moving forward. Because it is so
important to have a shared understanding, have a look at BI software solutions together to make sure
all of the key people that will be involved have a full understanding.
Choose Tools and Create a Team
The next step is preparation. In order to understand what sort of tool will be needed, defining the
requirements for the new BI system is necessary. Smaller businesses are usually able to utilize a BI
system as-is, while larger companies may need to look at custom solutions. Another important task at
this stage is to gather a team to work on a Business intelligence strategy.
It is important to have a representative from each department who will be involved in its
implementation so that they can simplify communication and provide their own department-specific
insights from the beginning. You need to make sure that all departments are data-friendly and in sync
with each other.
Develop a Strategy
Depending on the industry, a BI strategy will require a variety of aspects. Most will include
documentation of data sources, the KPIs of the specific industry, the kind of reporting necessary, and
whether or not the data flow will require automation. Laying out these components will be helpful
down the line.
Set Up Data Integration
This step is one of the most involved and will require quite a bit of time, as well as a lot of work from
the IT department. Data warehouses, a database that keeps the information in a processed and defined
format, cannot connect directly to information sources, so data integration tools must process the raw
data ahead of time to allow it to be usable. Businesses with large volumes of data may also need
additional technology to keep the processes from running too slow.
Choose an End-User Interface
This stage is where the data gets turned into usable information for the end-users. Previously, BI
systems only presented statistical reports, but nowadays, interactive dashboards are available with
customizable information. These interfaces allow for real-time reporting to find specific information
easily. Real-time, customizable reports are called “ad-hoc reporting” and can prove invaluable.
End-User Training
The last step in integrating a system into a company is to make sure all employees understand how to
use it. It is highly recommended to implement training sessions for all potential users, whether it is an
automated process or in-person training sessions with a manager or other team member.
Although business intelligence has been around for a couple of decades, the landscape of available
technologies is ever-changing. Rather than just supplying statistical reports, customizable, interactive
interfaces allow for much simpler and more effective collaboration between analysts. The technology
continues to evolve, including cloud-based and mobile platforms
4. Privacy and ethics- Social networking and BI.
For this topic refer ppt…… link is given
BusinessIntelligencepptdownload
https://slideplayer.com/slide/16201498/#.Y44xfdKfAq8.whatsapp
