Scene 1

Scene 2

S et of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions.  It is a suite of software and services to transform data into actionable intelligence and knowledge BI has a direct impact on organization's strategic, tactical and operational business decisions. BI supports fact-based decision making using historical data rather than assumptions and gut feeling BI tools perform data analysis and create reports, summaries, dashboards, maps, graphs, and charts to provide users with detailed intelligence about the nature of the business

Scene 3

Background pattern

Description automatically generated

Measurement: creating KPI (Key Performance Indicators) based on historic data Identify and set benchmarks for varied processes. With BI systems organizations can identify market trends and spot business problems that need to be addressed. BI helps on data visualization that enhances the data quality and thereby the quality of decision making. BI systems can be used not just by enterprises but SME (Small and Medium Enterprises)

Scene 4

How Business Intelligence systems are implemented?

Step 1 ) Raw Data from corporate databases is extracted. The data could be spread across multiple systems heterogeneous systems. Step 2)  The data is cleaned and transformed into the data warehouse. The table can be linked, and data cubes are formed. Step 3)  Using BI system the user can ask queries, request ad-hoc reports or conduct any other analysis.

Scene 5

Scene 6

Not optimized for Reporting Data schemas optimized for transactions not queries Difficult to share data Typically, do not maintain historical data

Scene 7

Here are some of the advantages of using Business Intelligence System: 1. Boost productivity With a BI program, It is possible for businesses to create reports with a single click thus saves lots of time and resources. It also allows employees to be more productive on their tasks. 2. To improve visibility BI also helps to improve the visibility of these processes and make it possible to identify any areas which need attention. 3. Fix Accountability BI system assigns accountability in the organization as there must be someone who should own accountability and ownership for the organization's performance against its set goals. 4. It gives a bird's eye view: BI system also helps organizations as decision makers get an overall bird's eye view through typical BI features like dashboards and scorecards. 5. It streamlines business processes: BI takes out all complexity associated with business processes. It also automates analytics by offering predictive analysis, computer modeling, benchmarking and other methodologies. 6. It allows for easy analytics. BI software has democratized its usage, allowing even nontechnical or non-analysts users to collect and process data quickly. This also allows putting the power of analytics from the hand's many people.

Scene 8

1. Cost: Business intelligence can prove costly for small as well as for medium-sized enterprises. The use of such type of system may be expensive for routine business transactions. 2. Complexity: Another drawback of BI is its complexity in implementation of data warehouse. It can be so complex that it can make business techniques rigid to deal with. 3. Limited use Like all improved technologies, BI was first established keeping in consideration the buying competence of rich firms. Therefore, BI system is yet not affordable for many small and medium size companies. 4. Time Consuming Implementation It takes almost one and half year for data warehousing system to be completely implemented. Therefore, it is a time-consuming process.

Scene 9

Artificial Intelligence:  Gartner' report indicates that AI and machine learning now take on complex tasks done by human intelligence. This capability is being leveraged to come up with real-time data analysis and dashboard reporting. Collaborative BI:  BI software combined with collaboration tools, including social media, and other latest technologies enhance the working and sharing by teams for collaborative decision making. Embedded BI:  Embedded BI allows the integration of BI software or some of its features into another business application for enhancing and extending it's reporting functionality. Cloud Analytics:  BI applications will be soon offered in the cloud, and more businesses will be shifting to this technology. As per their predictions within a couple of years, the spending on cloud-based analytics will grow 4.5 times faster.

Light bulb on yellow background with sketched light beams and cord

Scene 10

Diagram

Description automatically generated

Scene 11

Business intelligence vs. advanced analytics
BUSINESS INTELLIGENCE
• What
When?
Answers the questions:
• Who?
• r•nany?
• (KPiS. metrics)
• monitoring and alerting
(thresholds)
• Dashboards
Includes:
• OLAP Slice and drilling)
• Ad query
• and BI
ADVANCED ANALYTICS
• Why (Ed it
• WIN it again?
• What vill if we change x?
• What else the data tell us that we
never thought to ask?
• StatistZal quantitative andysis
• Data mining
• Predictive rnodeEng
• Multivariate testing
• Big data
• Text analytics

Scene 12

Below are the four key players who uses a Business Intelligence System: 1. The Professional Data Analyst 2. The IT users 3. The head of the company 4. The Business Users

BUSINESS INTELLIGENCE

Page 1 (0s)

Page 2 (7s)

Page 3 (34s)

Page 4 (56s)

Page 5 (1m 17s)

Page 6 (1m 24s)

Page 7 (1m 34s)

Page 8 (2m 24s)

Page 9 (2m 57s)

Page 10 (3m 36s)

Page 11 (3m 42s)

Page 12 (4m 1s)

Page 13 (4m 16s)