Predictive analytics enables you to extend your analytics capabilities: moving from looking in the rearview mirror to looking into the future. For companies wanting to gain a competitive advantage, using predictive analytics is a top priority.
High-performance companies use predictive data analytics to identify untapped opportunities and expose hidden risks buried inside vast amounts of data including both structured and unstructured. It gives your decision makers the insight they need to predict new developments, capitalize on future trends, and respond to challenges before they happen.
Regardless of your industry, two statements are true:
In this “new norm” there will be winners, and there will be losers, and while losers look for clues in the past, winners will be gathering better insights to predict the future. Which one will you be?
How much is a customer worth? Lifetime value models are useful in differentiating customer treatment. Is a customer at risk of attrition worth the investment of retaining? What will be the impact of targeting a particular customer segment? Let us show you how effective management of your customer relationships increase profitability over time.
The success of your program depends on well-defined customer relationships. Cross selling / upselling allows you to provide existing customers with additional or more valued products. We can help you enhance relationships with your existing customers using behavioural characteristics and predictive analytics to identify what they would be most likely to want next.
Our HR analytics provides organisations detailed analysis on their HR programs and workforces enabling employers to make better business decisions and improve operational performance. From recruiting top talent, to reducing employee turnover, HR analytics allows companies to gain insights and make actionable and relevant business decisions.
Forecasting is an important component of decision making across many organisations. Using statistical forecasting techniques, you can analyse and summarise data to discover patterns, trends and relationships. Our experts can help better predict bookings, revenue, and demand to optimise allocation and improve productivity of key resources.
In the Supply Chain process, predictive analytics can help to predict some risks such as changes in demand, delays in production and shipments. Analytics tools such as manufacturing planning, network design and inventory optimisation can help build a supply chain network that will mitigate these risks.
Social and recommendation functionality in predictive analytics provides powerful network analysis and link analysis to make the most of social influence and advanced personalisation. We can help you explore the links between your customers and network of strong social influencers.
Our areas of expertise include: