Visualising your customer data is a great starting point for becoming a data driven business, but is often limited to providing a “rear view mirror”, telling you what has happened rather than what is about to happen.
At Acrotrend we believe the best insights are “actionable” ones, that improve both human decision making and customer experience automation. Data Sciences uses your data to find hidden patterns or groupings in the data and to predict the likelihood of certain outcomes. Applying Data Science lets you find the best segments to market to, predict which customers will churn, models return on investment and anticipate peaks in demand.
Understanding emergent patterns and trends in customer data can positively transform and inform your audience engagement strategy. To accelerate the discovery of actionable insights, our data scientists have developed a library of machine learning (aka Artificial Intelligence or AI) modules that can be applied to your data, either as stand alone “one off” engagements to answer a specific question or be built into your data warehouse and business operations to provide on going, near real time insights to improve your growth and profitability.
Experienced in both applying off the shelf solutions like Salesforce Einstein, or developing bespoke algorithms using R or Python programming, we’ll work with your team to prepare your data, prototype different learning or predictive algorithms, and validate the accuracy that can be achieved, through to rolling out a comprehensive machine learning program.
• Do you struggle to get the right skills and breadth of data science capabilities to build and sustain your audience analysis function?
• Do you know which of your customers will provide the highest lifetime value and which are at risk of churning?
• Can you accurately predict the demand for your products or services to inform decisions about staffing levels or capital investments?
• Do you want to experiment with multiple business hypotheses to prove and leverage the value of traditional and new data?
• Do you want data science and analysis capability on tap that is flexible and without the hassle of scaling and retaining to fit with the flow of your business?
Acrotrend provides you with the expertise and tools to effectively and efficiently mine your data in the cloud and build a data science centre of excellence. Acrotrend ‘unlocks’ your data by providing advanced analysis to enhance and refine your customer engagement model.
Using machine learning and cognitive analytics, our data scientists uncover patterns and themes in your data to streamline the outcomes, giving you the tools to improve your decision-making model.
Experienced in both applying off the shelf solutions like Salesforce Einstein, or developing bespoke algorithms using R or Python programming, we’ll work with your team to prepare your data, prototype different learning or predictive algorithms, and validate the accuracy that can be achieved, through to rolling out a comprehensive machine learning program. This allows the AI to automate scoring to predict churn risk, lifetime value, buying propensity or to model demand patterns etc.
We implement data science in 3 steps:
Step 1: Prove
By developing a hypothesis to your business challenge, the result is the creation of data and statistical models which can be tested against real situational data. This is further supplemented by automated training of statistical models through machine learning which results in outputs in flat files or APIs.
Step 2: Uber-ise
Repeated training and refinement of statistical models lead to predictive outcomes that become more accurate over time. Repeatable model executions can be scaled up and down as per your business needs, essentially paying for what you need.
Step 3: Glamorise
Our Natural Language processors, analytics bots, cognitive and prescriptive models and other emergent concepts in this dynamic area can be experimented within our Studio Labs, which can be added on to any of our existing services.