The name Ixio is a fusion of the Fynbos genus name Ixia and symbols familiar in the tech world like I/O and the binary digits 0 and 1.
Much of our data expertise can be traced back to academic work done in the biological sciences, a field that is increasingly breeding highly proficient data scientists.
We understand, architect and manage your data infrastructure to enable agile reporting, advanced analytics and data science. This allows for the generation of powerful new insights that improve performance, reduce risk and enhance efficiency.
By providing our clients with accurate, proven predictive intelligence about customers' behaviour, we enable them to formulate strategy and target their customers in a highly contextual and relevant manner.
We routinely process large, complex data sets and deploy advanced algorithms that unearth hidden insights and allow our clients to make consistently reliable decisions.
It’s your choice. There is a wide choice of commercially available software tools that offer various flavours of data analytic capability. These range from add-on modules to the major enterprise suites, to analytics visualisation tools that take flat files as input and slice up the data in configurable ways, re-presenting them in digestible format.
We do it differently. At Ixio, we take a business-led and science-driven approach to data. Problems are solved using the full weight of advanced statistical programming ecosystems, like R. We believe that R (and other appropriate) programming languages are far more powerful tools than pre-programmed toolsets, as they allow our data scientists to drill far deeper into complex problems than is possible with commercial packaged solutions.
We have a science-led solution approach. Our data team can bring to bear numerous different tools to the challenge of excavating insight from complex data. These include statistics, machine learning, unstructured and NoSQL data mining, pattern recognition, iterative solution engines, and heuristic techniques. This multi-faceted toolset, enabled by agile code development, far outstrips the capabilities of packaged software.
We are not afraid. Our data team revels in complexity, thrives on challenge, does not fear data quantity, dirty data, poor classification or opaque relationships. We will find novel correlations and ultimately expose actionable insights that are hidden from your competitors - and from yourselves.
96% accurate inbound call volume forecasting leading to an improved staffing solution generating annual savings of >$4.8m.
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86% accuracy in predicting payment delinquency.
15x improvement on payment promotion messaging.
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92% accuracy in predicting whether an individual will accept a quote allowing the client to focus and follow-up on high value potential customers first.
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90% accuracy in predicting the growth in new customers per segment.
Provided understanding of the responses to events of different behavioural groups within the customer base.
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Megan founded Ixio in 2012 after seeing a need for strong, data-led modelling and analytics in business.
As Chief Scientist at Ixio Analytics, Megan leads our advanced modelling programs and coordinates the technical requirements for our clients.
Her background in Evolutionary Biology allows her to bring a rigorous scientific approach to analytical problem solving.
Megan is highly regarded in the industry and contributes regularly to data and analytics conferences, both locally and internationally.
She takes a keen interest in environmental issues and is an avid surfer.
Chief Scientist
Ekow was previously the Chief Analytics Officer for the Retail and Business Bank, Barclays Africa where he was responsible for harmonising and repurposing the bank’s Analytics and Data Science functions.
An ex-oilfield engineer, Ekow has C-suite experience in strategy consulting and private equity investing and brings a deep commercial understanding of several industries. He is passionate about data and getting things done. Ekow is also a published author of three novels - Dying in New York, White Wahala and The God Who Made Mistakes.
Managing Director
Steve has over 35 years’ experience in diverse areas of business, technology, telecommunications, media, information management and private equity and has worked at operational, executive and board levels. After qualifying with an MSc (Computer Science) from the University of California Los Angeles in 1979, Steve spent the next 17 years in California. This was the Cambrian period of technological development, particularly on the West Coast of the US, and he was fortunate enough to be involved with a great deal of new technology. This included working as an engineer on the Space program at …
Chief Strategist
Before joining Ixio Analytics, Sharon worked at Coca-Cola (Pty) Ltd for 30 years at there Head Office in Johannesburg.
During her tenure she held various positions where she gained experience as a Volume Analyst reporting on sales volumes for the Division.
She also managed the President’s Office as an Executive Admin Assistant.
In her most recent roles in the Finance Department as Planning and Analysis Analyst she was responsible for preparing analyses and reports to monitor spend for Direct Marketing and Operating Expenses.
Finance and Administration
Philip has worked as a consultant on several marine research projects and as a research assistant on a study assessing history and current fluctuations in maritime populations.
His M.Sc. in conservation biology resulted in a publication on the behaviour of female southern elephant seals, a species that was once almost hunted to extinction.
He is passionate about data-driven research and has outstanding data analysis and data visualisation skills.
Data Scientist
Glenn’s PhD research resulted in several published papers and considerable recognition in the field of ecological modelling.
He recently worked as a research associate for SAEON (South African Earth Observation Network) collating multiple disparate datasets to form better views of the drivers of ecological change over time.
Glenn brings a rigorous statistical background, expertise in cutting-edge modelling and excellent research and data skills.
Data Scientist
Eyram studied Computer Science and prior to joining Ixio, developed tailored software solutions for several organizations.
At Ixio Analytics, Eyram develops advanced modelling solutions to business problems while ensuring these solutions are executable.
His weapons of choice are Java, C# and Python.
In his free time, Eyram thinks about how to solve educational problems with technology.
Data Scientist
Kingston studied Computer Science and prior to joining Ixio, facilitated lectures and discussion sessions at tertiary level during which time, he also developed a point of sale system for the institution.
At Ixio Analytics, Kingston uses his extensive software development skills to engineer smart data modelling solutions for data driven decisions amongst businesses.
Languages under his belt include Java, C#, Python and PHP.
He is passionate about the problem solving process when tackling practical problems and bringing his solutions to life.
Data Scientist
Before joining Ixio Analytics, Stefan provided technology support to IBM clients and also designed and built software solutions.
Now, Stefan leverages his extensive experience in infrastructure and software engineering to develop, build and deliver innovative analytical solutions that meet current and future demands.
He understands the value of data and the valuable insights that carefully structured analysis can deliver to organisations.
He's passionate about deep learning and its impact on the future.
Data Engineer
Over the past three decades, K Duker also known as ‘K’, has held leadership roles in major financial institutions in capital markets and trading in London, New York and Tokyo.
He brings with him over three decades of experience in treasury & risk management, wealth & asset management, capital markets & trading, payments, data technology and infrastructure (with emphases on digitizing financial services).
K is the former CEO of Fidelity Asia Bank Limited. He was also President and CEO of OANDA Corporation whose clients include. the Big Four accounting firms, the IRS and IRS equivalencies …
Board Member
As CEO of Ecobank, Africa’s largest multi-national bank, Albert gained significant experience in managing institutions across borders and cultures.
His advice and experience is invaluable to companies that want to expand and build great businesses out of Africa.
Currently, Albert serves on the board of a number of businesses, helping them with the development and execution of strategy.
He is also a Senior External Advisor for McKinsey & Co.
Albert holds a degree in Economics from the University of Ghana and is an alumnus of the Executive Development Programme of INSEAD (France/Singapore…
Board Member
Genesis Analytics was one of the first economics-based consulting firms to be established in Africa and has since grown into the largest.
With offices in Johannesburg, Nairobi, Dubai and Delhi, Genesis Analytics has expertise in a number of disciplines including:
Unlocking Value
Mark Zuckerberg provided some concise answers to US lawmakers but didn’t help demystify how Facebook tracks users across devices and offline.
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Only 9 percent of companies in a recent Gartner survey reported that data and analytics are central to their business strategy.
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Machine Learning and AI have a hype problem. C-Suite executives read about this magical new technology and send frantic missives down the line.
Read MoreBig Data and Data Analytics should be on the radar of every company exploring different ways to engage with and add value to their customers. Ixio has a proven track record in getting results from predictive intelligence about customer behaviour.
Graham Van Zijl. Managing Director, nVisionIT
Ixio Analytics serves clients across a range of industries including financial services, insurance, telecoms, retail, digital media, and leisure.
We’re unashamedly obsessed with helping you make data-driven decisions that achieve exceptional results while always taking the time to understand your industry, your business and your people.
We pride ourselves on combining advanced skills in data science with a deep and empathetic understanding of business issues.
We work with our clients to define clear and trackable benefits upfront.
We are also passionate about building capacity and invest heavily in helping our clients gain the confidence and capability to navigate the analytics maturity curve on their own.
We believe that it is by sharing knowledge that we expand the boundaries of our craft and demonstrate the art of the possible.
Unit B13, Westlake Square, Bell Crescent, Westlake
Cape Town, South Africa
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Tel: +27 (021) 140 1595
