1. Business Intelligence Trends and Applications
Assistant Prof.: Khalid Abed Dahleez – BA Department
Mohammed Nagi Alhendi

2. Introduction Overview & Definition BI Benefits
BI Architecture & Infrastructure
BI Applications & Major Players
BI & Your Future
BI Trends
BI Dashboards
Local Case Study

3. Business Intelligence
BI Definition
BI is an umbrella term that includes best business practices, software, infrastructure, and any other tools to optimize decision making and enhance performance.
Big Data
Massive sets of unstructured/semi-structured data from Web traffic, social media, sensors, and so on
Analytics

4. BI Benefits – Why?
Maximizing the efficiency of the decision making process
Facilitating the decision-making process
Speeding up the decision-making process
Assisting in identifying problems much faster
Improving accuracy of business decisions
Improving accuracy of data
Reducing manual work

5. BI Architecture – How?
The structure consists of the following modules:-
Tools to extract, transform and load data (Extraction-Transformation-Load tools “ETL”)
Analytic tools (On-Line Analytical Processing “OLAP”)
Data mining tools
Tools for reporting and ad hoc inquiring
Presentation layer

6. BI Infrastructure – What?

7. BI Applications Best BI Software (source: www.technologyadvice.com)
Self-Service
Data Visualization
Data Warehousing
BI Platforms
SAP Crystal Reports
iDashboards
Sisense
Tableau
Chartio
Dundas
Oracle BI
InsightSquared
Alteryx
Segment
SAS
Domo
Jaspersoft
Geckoboard
Birst
GoodData

8. BI Mobile Applications - Players
mobile-business-intelligence-apps.html
These 10 apps show the range of what is now available to meet different mobile business intelligence niches and needs:
SAS Mobile BI
Birst Mobile BI
Tableau Mobile
WebFOCUS Mobile
QlikView Mobile
Logi Info
MicroStrategy Mobile
IBM Cognos Mobile
Roambi
Yellowfin

9. BI Mobile Applications - Future

10. BI Mobile Applications - Performers

11. BI Mobile Applications - Future

12. BI Mobile Applications - Future

13. Top 10 best Jobs 2017 - LinkedIn

14. BI trends by 2017

15. BI trends by 2017 Predictive and Prescriptive Analytics Tools
Focus on the future
Answer to the questions:-
What will happen?
How can we make it happen?
Implementations

16. BI trends by 2017 Collaborative Business Intelligence
Combination of collaboration tools, including social media and other 2.0 technologies, with business intelligence software
Self-service BI

17. BI trends by 2017 Cloud Analytics
Greater growing
Elements – data sources, data models, processing applications, computing power, analytic models and data storage – are located in the cloud. 

18. BI trends by 2017 Digitization
Process of turning any kind of analog signal (or image, sound, video) into a digital format.
Transform offline business processes to computer-supported processes
Benefits

19. BI trends by 2017 Visual Data Discovery
Find patterns or structures in data sets that seem at first sight impenetrable
Discover relationships between data elements across multiple data sets for subsequent data analysis
Arrive at unexpected data insights

20. BI trends by 2017 Data Storytelling and Data Journalism
Shift from written to visual communication
Volume of inflowing information
Turn to infographics
Data visualization is worth a 1000 words.

21. Self Learning – Your Future

22. Self Learning – Your Future

23. BI dashboard Definition
visual display of the most important information needed to achieve one or more objectives consolidated, and arranged on a single screen
In five years, 100 million people will be using an information-visualization tool on a near-daily basis. And products that have visualization as one of their top three features will earn $1 billion per year. -- Ramana Rao, founder and chief technology officer, Inxight Software Inc., Sunnyvale, Calif.

24. Example of BI Dashboard

25. Example of BI Dashboard

26. Example of BI Dashboard

27. Local Case Study
The Role of Implementing Business Intelligence Dashboard Features in Decision Making: An Empirical Study at Paltel Company

28. Case study (Cont.)
This study investigates the extent of implementing Business Intelligence (BI) Dashboard features related to the information systems of Paltel,
and to make the possibility of implementing independent BI Dashboard system in the future using analysis of survey responses Paltel employees in Gaza Strip.

29. Statement of Problem
Paltel is considered to be one of the largest companies in the Palestinian market that employing highly precise information system,
and always looking forward to deal with systems that meet its needs and expansion and help the company in taking decisions ,
but the serious problem that faces Paltel today is the huge increase in data dealing every day which needs processing and delivering to the various departments in the right time,
and therefore the company needs to develop programs and tools display data regularly.

30. Objectives
The research question: What is the potential impact of implementing BI Dashboard on decision making process at Paltel?
Which can be achieved the following objectives:
Assess the existed BI Dashboard features on the current information systems at Paltel.
Explore the degree of Paltel readiness for implementing BI Dashboard.
Explore the degree of need to implement BI Dashboard to be used in decision-making at Paltel.
Determine the benefits of implementing BI Dashboard on decision making in Paltel Company.
Determine the hierarchical level and department that needed to use BI Dashboard at Paltel Company.

31. Results
The main BI Dashboard features are relatively available in Paltel Information systems, but the lack of fully integrated features reduces the benefits of BI Dashboard on the decision-making process.
The respondents agree that there is positive effect of Paltel readiness level of implementing BI Dashboard at the company (73.18%)
This result shows that there is positive readiness level at Paltel Company for adopting BI Dashboard

32. Results (Cont.)
The company can overcome the technical challenges that may be faced in implementing the new system.
(70.93%) of respondents are in need of BI Dashboard features (Presentation Flexibility, Drill-Down Feature, Data filtering capabilities, Timely data, Accessibility Integration, Data visualization, Customization and One integrated screen).
The respondents agree that BI Dashboard is beneficial in the decision making process (74.35%).
BI Dashboard implementation has a positive effect on all levels of business and departments in Decision-Making at Paltel.

33. Recommendations
In the light of the study by results and findings, Paltel can develop a BI Dashboard system for its employees.
However, to do so Paltel Company must have:
IT strategy (IT systems are frequently updated and applications are frequently developed to adapt with the rapid acceleration in technologies).
Business strategy which support IT investment.
Business Intelligence Programming Platform to build and program BI Dashboard if the company would like to adopt the system internally.

34. Recommendations (Cont.)
Data Source - valuable information that employees need to access anytime.
A process for implementing the BI Dashboard System.
A BI Dashboard System to be an integrated solution to the existing systems for all different employees’ tasks.
The ability to benefit from all BI Dashboard Features.