Turn data into insight

Our tailor-made solutions empower clients to make better decisions, reduce costs, and improve efficiency.

About Us

We combine expert domain knowledge with statistical and machine learning techniques to create tailor-made solutions which empower our clients to make better decisions, reduce costs, and improve efficiency. As a boutique solutions provider, we are able to appreciate the uniqueness of each client and strive to offer a highly personalised service with the purpose of building long-term relationships with our clients.

At Quantivation, we are passionate about our clients and serving them to the best of our abilities. Our success lies in our aspiration to deliver quality, value, and service to our clients, and in doing so consistently. We focus on the needs of our clients and take fresh, innovative approaches to every tailor-made solution that we deliver.

Services

The successful application of data science requires creative thinking, innovation, and specialist domain expertise. Off-the-shelf solutions are likely to yield less than favourable results, as they fail to capture the unique characteristics that accompany every business case. At Quantivation, we partner with clients to leverage the benefits of data science for improved, profitable growth.

Business consulting

All projects are started with a comprehensive review of the business requirements, as well as the characteristics of the environment in which the project’s output will be used. This is done to assess the full scope of the assignment, as well as to properly align the project with the business environment.

Data quality and enhancement

Quality data is an essential input into making informed decisions. As part of our undertaking to provide clients with skillfully crafted solutions, we are able to assist with the following:

  • Assessment of data quality
  • Data cleansing, formatting, and correction
  • Enrichment, de-duplication, and matching of data
  • Architecture, advisory assistance, and implementation of best practices
  • Data preparation and feature engineering for statistical analysis and machine learning.

Analysis and machine learning

This is at the heart of what we do and we distinguish ourselves from our competitors by forging a close working relationship with our clients to keep them involved throughout the entire process. Our offering includes:

  • Data visualisation
  • Exploratory data analysis
  • Feature extraction
  • Causal analysis
  • Predictive modelling
  • Simulation studies

Training

Knowledge transfer is a core component of our service offering. We can further empower clients to become data-driven organisations by providing training to establish the core skills needed to better utilise data in the decision making process.

Our Approach

Appreciating the uniqueness of every problem is fundamental to ensuring that our purpose-built solutions fully address the unique requirements of the client. We employ industry-recognised methodologies to define the business plan and project scope in order to accurately address the client's needs.

Requirement scoping

We place a high value on ensuring that the business requirements are fully comprehended, before commencing any further work. In doing so, we ensure that a solid foundation is laid, upon which the ensuing steps are built and the success of the final solution is evaluated against.

Data acquisition

Data is sourced, consolidated, and standardised, before being carefully scrutinised for quality. During this stage, we actively engage with the client to ensure that the behaviour of the data is well-understood and any required remedial actions are identified.

Modelling

During this phase, we employ a combination of data visualisation, statistical and machine learning techniques to analyse the data. We follow an iterative approach and continuously interact with client to discuss the results. Following an interactive approach facilitates knowledge discovery and ensures that the final solution is closely aligned with the business’s requirements.

Evaluation

Different models are evaluated to test their performance on new data and to confirm that all business requirements are adequately considered.

Deployment

Depending on the requirements of the project, the final models are implemented into an operational solution. Output from the operational models is presented in an intuitive manner to end users.

Feedback and monitoring

Results and lessons learned are documented and presented in a final report. This is used to judge the overall success of the project and serves as input for any refinements in future. Where predictive models have been deployed, ongoing monitoring is required to ensure that the models continue to perform well.

Contact Us

Interested in exchanging ideas or just meeting for coffee?
Please complete the contact form or give us a call.

Physical Address

Matrix Building, 8 Bridgeway, Century City, 7441

Postal Address

PO Box 1103, Durbanville, 7551

Phone

+27 (21) 671 3640

Email