Analytics

The goal of analytics is to use data, statistical algorithms and machine learning techniques to provide the best assessment of what will happen in the future based on historical data.

Leveraging deep data, industry and technology expertise, Codifyd will deliver Information Management and Analytics Solutions that drive overall commerce revenue performance gains.

Our Analytics Service Offerings

SUPPLY CHAIN ANALYTICS


Reduce demand/supply uncertainties. Build model to tackle SKU complexity/cost complexity in a multi-node supply chain

INCLUDES

    • Demand Analytics

    How is my forecast tracking with actual sales?

    • Procurement Analytics

    How to achieve lowest landed cost and secure long-term high quality supplier partners?

    • Inventory Analytics

    What stock should I hold and where should I position it? What, when and where should I ship?

    • Logistics Analytics

    How to optimize transportation routes and loads?

    • Customer Service Analytics

    How do I reduce cost on manpower without hampering customer service?

SALES FORECASTING


Increase top-line growth Sales Operations by improving sales effectiveness, sales predictability and sales productivity

INCLUDES

    • Sales Forecast Analytics

    What will be my sales in the next week/month/year?

    • Pricing Analytics

    Am I selling my products at the right price and the right time?

    • Sales Lead Analytics

    How do I maximize efficiency of my Salesforce?

    • Product Analytics

    How my products are selling? Will any addition of new products hamper the performance of existing products?

    How do I manage my backorders?

CUSTOMER INTELLIGENCE


Identify and analyze customer segment, maximize cross sell and up-sell opportunities and enhance Customer Lifetime Value

INCLUDES

    • Customer Segmentation

    How do I understand my customer base & their profile?

    • Churn Analytics

    Why am I losing customers? How do I stop it?

    • Loyalty Analytics

    Who are my most loyal customers and how do I improve my loyal customer base?

    • Cross Sell / Up Sell

    How do I identify cross sell or up sell opportunities within my existing customer base?

MARKET INTELLIGENCE


Help bring context to market insights using analytics techniques, domain expertise and technology

INCLUDES

    • Market Mix Modelling Analytics

    How do I maximize my marketing ROI?

    • Attribution Modelling Analytics

    How much is each channel impacting sales? How is our offline marketing impacting online and vice versa?

    • Media Mix Optimization Analytics

    If we increased our marketing budget, what is the most profitable place to make additional investment?

Our Analytics Service Offerings

SUPPLY CHAIN ANALYTICS


Reduce demand/supply uncertainties. Build model to tackle SKU complexity/cost complexity in a multi node supply chain.

INCLUDES

    • Demand Analytics

    How is my forecast tracking with actual sales

    • Procurement Analytics

    How to achieve lowest landed cost and secure long-term high quality supplier partners

    • Inventory Analytics

    What stock should I hold and where should I position it? What, when and where should I ship?

    • Logistics Analytics

    How to Optimize transportation routes and loads

    • Customer Service Analytics

    How do I reduce cost on manpower without hampering customer service

SALES FORECASTING


Increase top-line growth Sales Operations by improving sales effectiveness, sales predictability and sales productivity

INCLUDES

    • Sales Forecast Analytics

    What will be my sales in next week/month/year?

    • Pricing Analytics

    Am I selling my products at the right prices and the right time?

    • Sales Lead Analytics

    How do I maximize efficiency of my Salesforce?

    • Product Analytics

    How my products are selling? Will any addition of new products hamper by the performance of existing products?

    How do I manage my backorders?

CUSTOMER INTELLIGENCE


Identify and analyze customer segment, maximize cross sell and up-sell opportunities and enhance Customer Lifetime Value

INCLUDES

    • Customer Segmentation

    How do I understand my customer base & their profile?

    • Churn Analytics

    Why am I losing customers? How do I stop it?

    • Loyalty Analytics

    Who are my most loyal customers and how do I improve my loyalty customer base?

    • Cross Sell / Up Sell

    How do I identify cross sell or up sell opportunities within my existing customer base?

MARKET INTELLIGENCE


Help bring context to market insights using analytics techniques, domain expertise and technology.

INCLUDES

    • Market Mix Modelling Analytics

    How do I maximize my marketing ROI?

    • Attribution Modelling Analytics

    How much is each channel impacting sales? How is our offline marketing impacting online and vice versa?

    • Media Mix Optimization Analytics

    If we increased our marketing budget, what is the most profitable place to make additional investment?

The next frontier of B2B sales is predictive analytics

89%

B2B marketers have predictive analytics on their roadmap for 2018

78%

Marketers see their prospects buying journeys becoming more complex and non-linear

62%

Marketers most often face challenges of ensuring data quality and managing data from a variety of sources in attempting to gain greater insights about customers and prospects

49%

Marketers who have integrated predictive analytics into their workflows selected two or more discover-stage activities among their top three best practices

Analytics 360

Analytics 360 is a discovery engagement that helps organizations identify problem sets that can be solved through analytics, prioritize them based on business impact and help lay the roadmap for solution building and implementation.

Analytics Centre of Excellence (CoE)

Analytics Centre of Excellence (CoE) builds on the Analytics 360 and puts together the team, technology and governance required to execute on the roadmap.

  • Discovery
    Working with key stakeholders to identify a comprehensive list of problems that can be solved with maximum impact
  • Detail
    Provide information specific to the identified problems
  • Tools & Infrastructure
    Identify tools and technology infrastructure required to solve problem sets
  • Governance
    Describe governance process required for short-term and long-term analytics success
  • Identification of problem sets that can be solved by applying analytics
  • Prioritization based on business impact
  • High level solution architecture
  • Identification of data sources and data transformation
  • Tool and infrastructure recommendations
  • Business Needs
    Identify the drivers behind predictive analytics project, define the problem statement & set up expectations on outcomes
  • Data Exploration & Consolidation
    Data Sufficiency, internal & external data identification & consolidation to form a single source of truth
  • Predictive Modelling
    Building Predictive model(s) suiting business needs and industry compliances
  • Evaluation & Acceptance
    How good is the model performing & User Acceptance Testing?
  • Model Deployment
    Deploying the model to a production environment
  • Business Intelligence
    Turning results to actions by empowering business users with Interactive & Actionable Dashboards
  • CoE cross-functional starter team
  • Analytics best practices and robust Tools & Infrastructure
  • Predictive Model build and deployment
  • Actionable Intelligence delivered via Business Intelligence tools
  • Business user training and operationalizing solution for ongoing use

Ready to Digitally Transform?

Let's Work Together!