- ACCOUNTING AND FINANCE
- RESEARCH AND DEVELOPMENT
Measurement of the number of impressions on websites and social media is readily accessible via most online platforms today. However, unifying this into a single view across all online channels, where measurement of the return on investment per campaign and against a range of online engagement, conversion and cost-effectiveness targets is out of the reach of most Marketing departments.
Many organisations need to meet statutory requirements of handling cases within a particular timeframe and quality framework. Communicating this to regulatory bodies and external stakeholders is often a difficult task, involving complicated manual compilation of data across multiple systems. Automation of data processing allows organisations to better manage cases on a near-real time basis, and provide on-demand visibility to stakeholders easing the internal administrative burden of compliance.
To truly understand the success of a business requires a view of their share of a market. This introduces the need to quantify the market potential by geographic area using market demographics and existing customer and sales data. This helps businesses prioritise their field sales activity, direct marketing initiatives and investment in extending a branch network.
Proactive management of health is proven to be more cost effective than treatment after the fact. In the Sports Sector, predicting and intercepting an injury is critical to ensuring an athlete meets their performance objectives and has the best chance of successfully competing. Machine Learning allows organisations to identify patterns in the drivers of injury drawing on a range of performance and wellness factors, allowing near sighted intervention and medium term planning of a training regime.
Accurately predicting sales volumes every month helps to better manage cash flow and capacity planning to make sure that a business can keep up with customer demand. Consolidating these forecasts from a large workforce is a key challenge that prevents most businesses from providing a regularly updated view. Leveraging machine learning also provides the opportunity to detect patterns that more objectively estimate sales revenue by taking into account seasonality, environmental and market factors and location.
Management and Board Reporting is a regular rhythm of most businesses which often requires weeks of preparation each month. Stakeholders now demand information that is easier to consume than traditional static reports, such as mobile device capabilities, concise consolidated executive dashboards, and drill through capability, available on an on-demand basis through a central portal.
Customer touchpoints are commonly spread across multiple, disparate systems throughout the entire sales cycle. To gain a 360 degree, single view of a customer is either impossible or requires extensive manual intervention. Implementing a Single Customer View Solution can provides the necessary found for marketers to exploit up-sell and cross-sell opportunities, and optimise their channel investments.
Using insight from customer buying behaviour to drive instore and online communications can significantly uplift conversions and cross-sales. Using the Cortana Intelligence Suite, businesses can decipher instore movement and customer reactions, and use Machine Learning models to tailor real-time offers and recommendations that are relevant to a customer's specific needs.
Detecting a customer at risk of leaving is a time-critical activity that often requires drawing on indicators of a customer's satisfaction level that are not formally captured in systems. Modern data processing techniques allow businesses in real-time to detect the mood of a customer by the tone of their voice or their correspondence, rate the risk of customer churn and produce timely alerts to operational staff.
Effective scheduling of timetables, staff and resources can be a complex and effort demanding task. Businesses seek not only a consolidated view of availability but real-time feedback and alerts of job status and staff location to optimise the allocation of jobs across their workforce.
For many businesses, staff salaries represent one of the largest operational costs yet managers do not have a single view of Finance and HR data to gain meaningful insight into staff performance and utilisation. Quickly highlighting areas of concern and correlating drivers of long term success can help to drive the right investments in staff.