Analytics
We live, breathe and dream data. From predictive analytics, data transformation and modelling, industry benchmarking, customer profiling and reporting – we can provide the insights you need to make and action strategies that drive business growth.
Performance Analytics
Performance Analytics by Spark provides Mutual banking organisations with customer engagement benchmarking and insights.
It is intended for decision-makers who seek an understanding of their organisation’s performance; both internally and compared with the average performance across a growing portion of the industry.
METRIC GENERATION: Spark will generate key metrics and segment profiles using a predefined set of metrics to help the client better understand their customer base.
OBSERVATIONS & INSIGHTS: Based on the data, Spark will deliver insightful observations that can be used to enhance customer engagement strategies, enabling the client to take informed actions.
COMPARATIVE ANALYSIS: Our team will perform comprehensive analysis, including comparative point-in-time comparisons and industry benchmarks, to provide a deeper context around the customer metrics.
PRESENTATION: To round it all off, Spark will present recommendations and key to findings and stakeholders, accompanied by a detailed written report summarising the results and proposed next steps.
Customer metrics
Performance Analytics by Spark provides Mutual banking organisations with customer engagement benchmarking and insights.
It is intended for decision-makers who seek an understanding of their organisation’s performance; both internally and compared with the average performance across a growing portion of the industry.
METRIC GENERATION: Spark will generate key metrics and segment profiles using a predefined set of metrics to help the client better understand their customer base.
OBSERVATIONS & INSIGHTS: Based on the data, Spark will deliver insightful observations that can be used to enhance customer engagement strategies, enabling the client to take informed actions.
COMPARATIVE ANALYSIS: Our team will perform comprehensive analysis, including comparative point-in-time comparisons and industry benchmarks, to provide a deeper context around the customer metrics.
PRESENTATION: To round it all off, Spark will present recommendations and key to findings and stakeholders, accompanied by a detailed written report summarising the results and proposed next steps.
Data by Spark
Strong relationships come from truly understanding your customer. But when your data is spread across multiple systems, unfortunately, what you get is a very disjointed view of your customer.
Fragmented data is a common challenge amongst Credit Unions and Mutual Banks. It has a significant impact on organisational efficiency and makes it very difficult to identify which customers should be engaged and when to do it.
We can fix that. Data by Spark converges previously siloed datasets into a single source, enabling a consistent customer view and customer experience.
Predictive trigger
Predictive Data Triggers Spark’s predictive data triggers refer to specific events, behaviours, or patterns displayed by customers that indicate a likelihood or propensity for a certain action. Incorporating these triggers into your operations enables you to move from a reactive approach to a proactive one, enhancing customer experiences, reducing risks, and driving growth. Deliver Timely and Relevant Offers: Identify when customers are most likely to need a specific product or service. Improve Cross-Selling: Automated data analysis can identify opportunities for cross- selling or upselling and cater to each customer's unique financial journey. Reduce Attrition: By identifying patterns in customer behaviour, you can engage a customer before they make the ultimate decision to leave.
Service triggers
Service Data Triggers
Our service triggers identify the moments to initiate interactions with customers – to provide relevant notifications, services or support. They can be compliance-related or an exercise to enhance customer experience by proactively addressing customer needs.
Examples of how service data triggers can be used:
Account Warnings: If a customer’s account is overdrawn, incurred a fee, or their loan is overdue, then early notifications can inform the customer and offer support.
Payment Reminders: Notifications of an upcoming payment due can help customers avoid late payment fees and reduce the risk of attrition.
Personalised Recommendations: Based on a customer’s recent behaviour, relevant product or service recommendations can be made that align with the customer's needs, such as an alternative account or insurance with a loan.
Compliance Communications: Fixed Rate or Interest Only expiring, Term Deposit – new and maturing, Inactive accounts, Insurance and other COBCOP requirements are just some of the service-related communications our triggers can help automate.
