Phone : +91 98795 66134
Discover and execute the science of data driven decision making into your business.
Understand your custmers better
Drive performance & Revenue
Improve Operational efficiency
Identify and monitor trends
More informed decision making
De-risk your business model
Every organisation across the world uses performance measures such as market share, profitability, sales growth, ROI and so on f
or quantifying, monitoring and improving performance. These are conventional ways of using available data to measure the organisational health.
Frankpro can assist you in developing and deployment of framework for data-driven decision making, problem solving and innovation. Our expertese in developing complex mathematical and statastical algorithms blended with data visualisation and application development tools will help your co to manage various aspects of your business.
Some of verticals, we can effectively intervene are listed below:
Supply Chain Analytics : Inventory management, procurement, vendor selection, distribution management
Quality & Process Improvement : Product quality, Manufacturing quality, process improvement
Revenue & Cost Management : Revenue maximisation vs cost minimazation
Waranty Analysis : Manage end custmer warranty and after sales support
Assortment Planning : Category & SKU Management that will fully maximize the revenue and improve loyalty
Promotion Planning : Forecast demand at SKU level for managing supply chain
Demand Forecasting : Revenue maximisation vs cost minimazation
Market Basket Analysis : Association among SKUs in customer purchase
Custmer Segmentation : Identify the custmer segmentation for target marketing.
Clinical Care : Data related to clinical care and treatment required for improving quality of care
Hospital related Analysis : Analyse data related to registration process, housekeeping, nursing, utility, diagnosis etc.
Demand Forecasting : Forecast demand for services (to manage resources)
NPS Optimisation : Net Promoter score is an important measure of organisational performance
Service Quality Analysis : Analyse quality for benchmarking and improvement
At FrankPro, developing and deployment of a robust framework for any business analytics / machine learning project includes 5 integrated stages.
These STAGES are listed below:
Our Project starts with the ability to collabaratively define the problem clearly. Your domain knoledge and our experience in analytics
are 2 critical components at this stage.
Our ability to ask the right questions and your comprehension to answer those will set the stage for future engagement.
Once the the problem is defined clearly, our team (with your help) will identify and collect relevant data. This may be an iterative
process as the 'relevant data' may not be known in advance.
Prior usage of ERP system will be useful at this stage. Else, data in any form or additional data from extrenious sources will also help.
Our past experience suggests that data preparation and data processing takes a significant proportion of any analytics project cycle time. This would include data cleaning and data imputation.3
For us, the Business Analytics model building as an iterative process that aims to find the best model for your problems. This will
involve several operational or mathematical algorythms and analytical tools which could suite your case.
This also involves creation of various training and validation data sets.
The objetive is to deploy a actionable and relevant analytics model (algorythms and software architecture) which delivers the desired output.
The deployment includes data structures, analytics, software solutions and visualisation techniques. The same is then communicated and deliberated with the top management.
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