1. DATA ANALYTICS 3 - INDUSTRY SOLUTIONS AND CASE STUDIES

2. Peter Sondergaard-Gartner
“Information is the oil of the 21st century and analytics is the combustion engine”
Peter Sondergaard-Gartner

3. DATA ANALYTICS
Data Analytics has the power to transform operations across all industries. It enhances the decision making process for different business functions.
Data Analytics can be leveraged for improved performance in all business functions including;
Marketing and Sales
Accounting and Finance
Human Resources
Logistics
Risk Management
Portfolio Management

4. Advantages of data analytics in business
Discovery of new revenue opportunities
Enhanced Customer Service
Effective Marketing
Competitive Advantage
Improved Operational Efficiency

5. INDUSTRIES Data Analytics can be adopted in the following industries:
Retail and Consumer Goods
Banking
Insurance
Energy
Media and Telecommunications
Manufacturing
Government and Social Services
Non-governmental organizations
Healthcare
Education and Research

6. RETAIL & CONSUMER GOODS
Store layout optimization
Logistics optimization
Brand affinity analysis
Loyalty program analysis
Assortment optimization
Cross sell/upsell
Retail Commission
Inventory Management
Churn Analysis
Customer satisfaction and loyalty
Customer lifetime value

7. BANKING Risk Management Compliance
Fraud and Financial Crimes Compliance
Data Management and Governance
Anti-money laundering
Credit Scoring
Customer Management
Marketing Management

8. BANKING CASE STUDY: NEDBANK
South African bank, Nedbank partnered with IBM to come up with a predictive modelling system that integrates data from social media into the bank’s main data infrastructure.
Their goal is to get a 360degrees view of the customer. For example if a customer is unhappy about their service and tweets about it on twitter, they are able to look it up and link the twitter account with the bank account.
This is all done in real time so that the bank has the ability to respond quickly to complains and monitor customer sentiments about their services

9. INSURANCE Actuarial and Underwriting Claims Management Fraud Detection
Customer Management
Marketing Management

10. INSURANCE CASE STUDY:ALLLIFE INSURANCE
A South African Insurance company AllLife offers life and disability insurance for manageable diseases like HIV and Diabetes at low premiums.
They have an adherence program for treatment and monitoring that each policy holder has to comply with.
Using data analytics, they underwrite policy holder risks every 3- 6months and policy holders found not to adhere to the program have they benefits reduced automatically.

11. ENERGY Smart Grids Exploration Survival Analysis for field equipment
Customer Management

12. ENERGY CASE STUDY: KENYA POWER
Kenya Power is East Africa’s largest power distributor.
In 2014 it adopted an automated data analytics system that provides real time status of all the business processes.
By integrating data from ten key operational sources, Kenya Power is able to analyse the data to get a single view of the enterprise data.
It is then able to analyse and compare real time and historical data for monitoring business processes, trends and estimating future electricity needs.
The real time analytics are accessible over the cloud therefore executives have access to the information for decision making from anywhere in the world.

13. MANUFACTURING Product Research Engineering and analysis
Process and quality analysis
Distribution Optimization

14. TELECOMMUNICATIONS Network Utilization
Capacity planning and management
Contract Risk Analysis
Traffic volume forecasting
Call route optimization
Performance management
Churn Analysis

15. TELECOMMUNICATIONS CASE STUDY-INDIA
MTS, an New Dehli based mobile telecommunications company is using data analytics to improve its marketing campaigns and customer retention.
They implemented a batch processing system that analysed all the data related to marketing campaigns in order to determine the best marketing campaign for particular groups of customers.
As a result MTS acceptance of usage and retention promotions improved from the industry average of 3.5% to 6.5%.

16. GOVERNMENT & SOCIAL SERVICES
Market governance
Counter Terrorism
Econometrics
Health Informatics
Service Delivery

17. GOVERNMENT CASE STUDY
The city of Tshwane piloted a crowd sourced app called WaterWatchers that enabled citizens to report problems in water supply like broken water pipes, through sms.
The data was analysed and it was discovered that the city was losing about $30 million annually through water leakages.
In Northern Uganda, Cipesa a non-profit organization have a system to allow citizens to monitor and report health service delivery through mobile phones to aid improvement in infrastructure and service delivery.

18. NON-GOVERNMENTAL ORGANIZATIONS
Real Time Warning of disasters etc.
Early Detection of diseases and epidemics
Real time Feedback on projects and programs

19. NGO CASE STUDY: UN WORLD FOOD PROGRAMME
In Cote d’Ivoire data analytics was used to locate areas with high rates of poverty by analysing airtime credit purchases and length of calls, under the United Nations World Food Programme.
The data was provided by a large mobile network operator in the form of anonymised Call Detail Records (CDR), which are generated whenever a mobile phone connects to the mobile network.
As a result they found a strong correlation between mobile airtime credit purchases and consumption of market bought food items.

20. HEALTHCARE AND LIFE SCIENCES
Genomics
Bioinformatics
Clinical outcomes research
Disease control

21. HEALTHCARE CASE STUDY:EBOLA EPIDEMIC
In 2014 during the Ebola epidemic in West Africa, Echo Mobile created a mobile reporting system in Sierra Leone for citizens to report new infections.
The data was sent to the Central Government Coordination Unit that analysed the data with a system developed by IBM Africa research lab system for better control of the spread of the disease.
Because of this they were able to identify areas with growing cases of infection which urgently required supplies like soap and electricity as well as improving response times for body collections and burial.

22. EDUCATION AND RESEARCH

23. “In God we trust. All others must bring their data!”
W. Edwards Deming-Statistician