Analytical Consulting Services

ANALYZE

Different types analyzes can provide a competitive edge:

  • Sales analysis
  • Retention, loyalty, elasticity and pricing analysis
  • Sentiment analysis, analysis of the customer experience and e-reputation
  • Predictive / prospective analysis, statistical definitions, feasibility analysis and profitability
  • Segmentation
  • Yield management and revenue management), process optimization, performance optimization
  • Cross sales, opportunity sales, additional sales. Cross-merchandising
  • Mega data analysis / Big Data

RETENTION ANALYSIS

What is this?

Acquiring customers is more costly than retaining customers. When it comes to good, profitable and repeat clients, it is essential to make the effort to keep them, to retain them.

Knowing your customers and each of their segments allows you to adjust your services to retain your most profitable and reliable customers.

What is it for?

  • Increase retention rate
  • Reduce customer acquisition costs
  • Know your strengths and customer perception
  • Build a relevant loyalty program based on buying behaviour
Retention

POSSIBLE DELIVERABLES

Defining customer characteristics and segments, specifying the order of profitability and the importance of retention.

SALES ANALYSIS

What is this?

  • Current sales reports according to various views of your business
  • Reconcile your sales data with potential market data
  • Analyze product baskets and the relationship between products sold. Sales correlation of beer and chips, spaghetti and tomato sauce, ultra-light seats of a particular type of light aircraft, of specific IFE purchase according to type of aircraft

What is it for?

  • Determine the potential of various industrial and geographic sectors in order to identify the correlation or the dichotomy between market potential and actual sales.
  • This will allow you to redirect your salespeople on promising market segments.
  • This will also allow you to redirect your marketing and advertising budgets
Sales

POSSIBLE DELIVERABLES

  • Sales reports
  • Segmentation
  • Identification of opportunities
  • Cross-selling
  • Seasonality
  • Data mining

SENTIMENT ANALYSIS

What is this?

Knowing what is BEING said about your company or how the customer feels about the shopping experience.

What is it for?

  • Know your online reputation and take action regarding your communication campaigns to adjust your reputation or surf the wave of a good reputation to increase sales
  • Correct weaknesses by using negative comments to engage an audit and improve outcomes
  • Capitalize on strengths by highlighting strong points and customer appreciation
  • Increase the performance of their marketing by targeting the right people according to the right criteria
Sentiment

LIVRABLES POSSIBLES

  • Range of words and phrases used to identify you
  • Reputation score based on geographic grouping, social networks and periods

PREDICTIVE ANALYSIS

What is this?

Extrapolate current data to get an idea of ​​the future or of the possible scenarios by mathematical modelling.

Anticipate events and opportunities to be proactive and increase business performance.

What is it for?

  • Make informed choices between various strategies and action plans.
  • Better manage production with consistent and fair estimates.
  • Choose between several investments, locations or marketing campaigns.
  • Determine the prioritization of projects according to their return on investment or return on experience.
Predictive analysis

POSSIBLE DELIVERABLES

  • Mathematical modelling of your process and your analyzed phenomenon.
  • Automation and updating of your predictive system.
  • Tracking forecasts compared with data achieved through a dashboard.

SEGMENTATION

What is this?

  • Dividing a group into sub-groups with the same characteristics
  • Widely used in marketing, the mathematical model also responds to operational, financial and project issues

What is it for?

  • Increase your impact on the targeted subgroups
  • Identification of opportunities:
    • Consumption occasions - When should my brand be present?
    • Customer experience – Where am I losing clients or when can I get them back?
    • Satisfaction and breakpoints – To what do they pay attention?
    • Geographical grouping - Where are they most numerous?
    • Sponsorship or possible events - Where should my brand be present?
    • Lexical fields and vocabularies – How should I speak?
    • Preferred media - Where should I communicate?
    • Differentiation - What space is not already occupied by my competitors?

POSSIBLE DELIVERABLES

MARKETING

  • Distribution of customer target groups and their financial contribution
  • Encrypted Persona (?)
  • Description of target groups:
    • Consumption
    • Medium of communication
    • Life habits
    • Commitment and loyalty
    • Socio-demographic criteria
    • Proportion in the customer base and in the geographic area
    • Average basket
    • Frequency of purchase
    • Type in the Net Promoter Score

REVENUE OPTIMIZATION

What is this?

The process of forecasting demand for a good or a perishable service and adjustment of supply based on the expected demand.

What is it for?

  • Optimize production and human resources.
  • Optimize the supply chain.
  • Optimize overall revenues.
Optimization

POSSIBLE DELIVERABLES

  • Yield management models (prediction and supply redistribution rules)
  • Analysis report on the redistribution process and the predictive model.

STATISTICAL DEFINITION

What is this?

An analysis of a statistical business phenomenon with a lot of data: product segmentation, cross-selling, forecasting and budget, exceptional product cases, sales or customers…

What is it for?

Solve the problem or conduct a prospective analysis through mathematical modeling.

Statistical definition

POSSIBLE DELIVERABLES

  • Determination of analysis and possible data sources for inputs and data samples.
  • Selection of inputs.
  • Analysis based on best practices in "data mining" and econometrics.

BIG DATA

What is this?

Real-time analysis of your organization's information, whether this information comes from your database, your unstructured data, or the web.

What is it for?

  • Act immediately in response to unforeseen events.
  • Quickly analyze a situation to act immediately
  • Consider all possible information for a more comprehensive and more accurate analysis
big data

POSSIBLE DELIVERABLES

  • Data storage in the form of data lake
  • Live analysis on large amounts of data
  • Analyze your supply chain data (analysis of losses in raw material and quality)

Contact DWBI Expert Inc. for more information.

We’ll be pleased to assist you.

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