By 2020, 75% of large and midsize organisations globally will compete using advanced analytics and proprietary algorithms according to Gartner. So what’s stopping businesses from using analytics and proprietary algorithms to drive their business forward?
The biggest hurdle is the availability of qualified and experienced data scientists. McKinsey projects that by 2018 the demand for data scientists may be as much as 60 percent greater than the supply available.
To address this growing gap, Altis, Australasia’s largest vendor independent Business Intelligence and Analytics consultancy has invested in DataSeer. DataSeer is the Philippines leader in predictive analytics outsourcing and training. Their highly skilled team is currently ranked in the top 2.8% of data scientists worldwide by kaggle.com.
“Altis has been successful in delivering tangible financial outcomes using data and predictive algorithms, but we have been constrained by the availability of skilled data scientists in our local market,” said Altis’ CEO, John Hoffman.
“Our investment in DataSeer enables us to draw upon a larger pool of data scientists for projects and outsourcing arrangements in Australia, New Zealand and the UK. For example, during the investment process, we ran three separate client projects that delivered significant financial outcomes for our clients. All three of those clients have already committed to additional projects. This gave us confidence that our investment/partnership with DataSeer enables Australian, New Zealand and UK organizations (where Altis has physical offices) the ability to address the gap of data scientist availability and enable companies to cost effectively apply machine learning and predictive analytics to drive differentiation and profitability.
Isaac Reyes, Principal of DataSeer and newly appointed Head of Data Science for Altis believes the investment represents “a natural partnership between two very complementary businesses, coupling Altis’ market leading position in data warehousing and BI with DataSeer’s capabilities in machine learning and predictive analytics.”
To find out more about this exciting announcement or to find out how we can help you contact your local Altis Office or email us at email@example.com