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Analytics

Data-Driven Innovation: Leveraging Data to Find Solutions

At CERP Analytics, data has driven our ability to develop ground-breaking solutions, optimise operations, make new products and improve services in the public and private sectors. With a focus on econometrics-based data analytics, we employ human-centered design, qualitative analysis, and digital transformation to augment our evidence-based recommendations.

Our Approach

Econometrics

Econometrics

Deep-dive into data with Econometrics

Deep-dive into data to identify trends, correlations and cause-effect relationships to generate evidence for a wide variety of problems ranging from product design questions, optimising operations, crafting new business strategies or measuring impact in the public and private sectors. We use econometrics to identify variables that most affect the outcome of interest. The degree of response to each variable affecting the outcome is clearly understood. This leads to better decision-making and choices rooted in evidence. 

We start this process by helping you improve your data quality. Combining your data with other relevant data external to your organisation gives valuable insights, helping you make informed choices and decisions.  

Human-Centred Design

Human-Centred Design

Generate powerful new ideas with Human-Centered Design

Through Human Centred Design (HCD) we assess human behaviour and response to a stimulus. This stimulus can be a policy choice, a compensation system, a user interface, a hardware device or even a process like hiring and motivating employees for high productivity. The goal is to understand and satisfy human needs and evoke a positive, desirable and quantifiable response for each stimulus. Based on design thinking to generate powerful new ideas and hypotheses, our work on HCD encompasses classical qualitative techniques including in-depth interviews and focus group discussions.

This brings richness to our econometric data analysis by incorporating empathy and human response in our quantitative analysis.

Digital Transformation

Digital Transformation

Build an agile organisation through digital transformation

The new economy is driven by digital transformation. While giants like Amazon and Google use data as a staple, it becomes imperative for established businesses to either transform or risk extinction. Every organisation possesses a wealth of data on customers, operations, and service delivery that can be used as fuel for digital transformation. Internal processes are improved, transformed and invented by breaking the silos and integrating data streams to build an agile and responsive organisation. By using the right mix of existing and emerging technologies including Artificial Intelligence, Machine Learning, powerful Data Visualisations and the Internet of Things among others, the processes can be made efficient and systematised.

Digital Transformation is equally compelling for public sector organisations where the adoption of policy choices is accelerated and citizens services automated and efficiently delivered. 

Data Analytics Journey

Analytics is the process of discovering, interpreting, and communicating significant patterns in data. Quite simply it helps us identify insights and meaningful data that we might not see otherwise.

what happened?

descriptive analytics

why did it happen?

Diagnostic Analytics

what will happen?

Predictive Analytics

how can we make it happen?

Prescriptive Analytics

information

optimisation

hindsight

hindsight

insight

insight

foresight

foresight

Analytics maturity

Why CERP Analytics is Different

Analytics has played a transformational role for businesses around the world. Our approach at CERP Analytics is to develop analytics strategies that align with your business objectives and the company’s culture. We provide unique solutions to help your business improve efficiency and enhance user experience. From data collection and analysis to in-depth interviews and workshops with industry consumers, experts and organisational staff, CERP Analytics can help your business maximise its potential. 

Application of Analytics in the Private Sector

From marketing and sales to strategy and operations, we can help firms become more nimble, responsive and ready for the digital age.

Analytics in Marketing & Sales

Market size analytics can help discover how large the market is for your products/services and if there is sufficient growth potential.

Pricing analytics discovers how much your customers would pay for your product ahead of time? It involves sensitivity and scenario analysis to determine how pricing, optimise return on sales.

Demand forecasting uses predictive analytics to estimate the quantity of a product or services your consumers are likely to buy.

Marketing/sales channel analytics assesses the channels available to you and establishes which are the most effective.

Market trend analytics identifies whether a market is growing, stagnant or in decline and how fast that movement is occuring.

Brand analytics seeks to determine the strength of your brand compared to your competitors.

Competitor analytics identifies who your real competitors are, and how are they positioned in the market against you?

Customer life-cycle analytics help to acquire, develop and retain high value customers more profitably and effectively.

Analytics in Strategy & Operations

Reduce bias in decisions by calibrating the likelihood of your strategy succeeding before you allocate resources.

Business process reengineering: Through analytics we can identify areas of improvement through process mapping.

Unearth new growth opportunities by complementing traditional brainstorming methods to reveal hidden pockets of growth.

Cost reduction: Through analytics we can identify areas that are high cost and design strategies to reduce those extra cost.

Identify early-stage trends by painting a real-time picture of how your business context is unfolding so that you can trigger big moves before your competitors do.

Process optimisation: Increase efficiency, improve productivity, reduce costs, increase profitability, enhance customers and employee satisfaction and become more competitive in the marketplace.

Anticipate complex market dynamics by generating propriety insights about the combined impact of myriad forces.

Application of Analytics in the Public Sector

Public and government sector organisations can utilise analytics to innovate, design, and deliver better quality services to the end-user. CERP Analytics helps deliver value-added and credible solutions that drive efficiency, generate measurable savings and improve the performance of organisations, in government and the public sector.

By effectively using data analytics, public sector organisations can improve decision-making and transparency. It can help in eliminating fraud and remove waste and abuse. Reducing crimes, and responding to security threats are just some of the ways government can use analytics to improve service delivery to citisens.

cyber security

national security

healthcare

Agriculture

transport

cyber security

national security

healthcare

Agriculture

transport

taxation

education

open government

smart cities

weather forecasting

education

open government

smart cities

weather forecasting

taxation

In addition to applying business analytics techniques at the local or sub-national government levels, national and provincial governments can use analytics to design and implement large-scale public and private sector projects:

Results-Based Monitoring & Evaluation System

Product, Process and Service Delivery Design

Large-Scale Digital Transformation Projects

Service Delivery Reforms Roadmap

Predictive Analytics Projects

Our Partners

our team

Executive Vice President, Analytics & LABS
Executive Vice President, Analytics & LABS
Executive Vice President, Analytics & LABS

Results-Based Monitoring and Evaluation System

CERP Analytics uses results-based monitoring and evaluation as an assessment of a planned, ongoing or completed intervention. This is done to determine the relevance, efficiency, effectiveness, impact and sustainability of the project. The key is to track the progress of an intervention or a policy and adapt to resolve problems at different stages of implementation. 

CERP Analytics has designed and implemented several M&E systems in the public sector. 

Our approach includes:

  • Conducting readiness assessment
  • Establishing outcomes to monitor and evaluate
  • Finalising indicators to monitor outcomes
  • Gathering baseline data on indicators
  • Setting realistic targets and monitoring results
  • Evaluating and reporting the findings and using the results to institutionalise the system in the organisation

Product, Process and Service Delivery Design

The essence of any organisation, whether public or private, is the quality of its products and services. In order to deliver products and services that are liked by the end users, the processes related to product development and service delivery have to be efficient and customer-centric.

CERP Analytics adapts a Human-Centred Design (HCD) approach to product and service design. Human-Centered Design is an approach to problem solving that puts the people we are designing for, at the heart of the process. This is one angle that is usually neglected by both public and private sector organisations. HCD approach aligns government services with the needs and desires of people. Involving end users in the overall design process leads to greater buy in, uptake and impact. CERP has delivered numerous digital transformation projects that involved revamp of service and product design using HCD principles. 

Similarly, CERP’s approach to process redesign involves extensive discovery workshops with the client to map the processes and then breaking down the processes into granular parts to deeply understand the pain points, before identifying the solutions by involving end-users.

Large-Scale Digital Transformation Projects

Digital transformation is the process of using digital technologies to create new — or modify existing — business processes, culture, and customer experiences to meet changing business and market requirements (Salesforce, 2022). 

Digital transformation is a process that requires organisations and clients to go through the following steps:

  • Market research using econometrics
  • Conducting initial meetings to understand clients’ needs through discovery sessions to understand the processes and behaviours of the stakeholders through a Human-Centred Design approach
  • Defining the problem through Human-Centred Design workshops
  • Developing prototypes for field testing and feedback and finally delivering the final system that may include predictive analytics. 

CERP Analytics offers a Digital Transformation consultancy dedicated to helping organisations take advantage of the opportunities of digital technologies for lasting competitive advantage.

Service Delivery Reforms Roadmap

 

In order to address service delivery challenges, most public sector organisations have to rely on a structured reform roadmap. A key component of the roadmap relates to effectively monitoring the performance of sub-units or sections. We help develop key performance indicators (KPIs) to set service standards for both internal and external stakeholders. Once the KPIs are finalised, CERP Analytics helps to establish governance routines so that authentic data is collected from the field or departments. The information is shared through a live dashboard for management to measure performance against targets. 

CERP Analytics has expertise in developing the Reforms Roadmap for public sector institutions such as health, education, and taxation. 

Predictive Analytics

In recent years, companies have increasingly turned to predictive analytics to help solve difficult problems and uncover new opportunities. Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to provide the best assessment of what will happen in the future (SAAS, 2022). Our team has extensively developed expertise in this field and has delivered several projects using machine learning techniques.