DATA ANALYTICS 3 - INDUSTRY SOLUTIONS AND CASE STUDIES

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

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

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

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

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

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

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

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

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.

ENERGY Smart Grids Exploration Survival Analysis for field equipment Customer Management

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.

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

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

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%.

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

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.

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

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.

HEALTHCARE AND LIFE SCIENCES Genomics Bioinformatics Clinical outcomes research Disease control

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.

EDUCATION AND RESEARCH

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