Akvelon | Data Science and Analytics
16498
page,page-id-16498,page-template,page-template-full_width,page-template-full_width-php,ajax_fade,page_not_loaded,,qode-theme-ver-6.3,bridge,wpb-js-composer js-comp-ver-4.3.5,vc_responsive
 

BIG DATA SCIENCE AND ANALYTICS

No matter how you slice it, science matters. Science determines the accuracy of the predictions you can make by analyzing your big data, and greater accuracy means greater ROI. Akvelon’s solutions are packed with experience using data science to grow revenues for our customers. Quite simply, no other vendor on the market can do what we can do.

CUSTOMER ANALYTICS

RISK ANALYTICS

FORECASTING

MICRO-SEGMENTATION

WE HAVE DATA SCIENCE EXPERTS

Clearly understand which accounts should be paying more for the products they are already buying and how much they are willing to pay.

Find the customers that should be buying greater quantities.

Determine which customers should be buying other products in addition to those already purchased.

Focus on the accounts in each territory that will have the greatest overall impact on their target this year.

Know which customers are attrition risks before they leave.

Arm your reps with the right offers to increase the winning percentages in current opportunities.

Avoid over-discounting, long negotiations and deals that get pushed into next year.

data_analysis_shutterstock_138550073-1024x1024
shutterstock_204761080-1024x1024

FORECASTING AND PLANNING

  • Better forecasts mean better decision-making. It’s not a magical crystal ball, but a method to find and harness the important elements that drive volume and price.
  • Earlier identification of risks and other critical factors
  • Multiple data sources with social parameters and machine learning approach to accurately predict conversion rates
  • Big data is no longer an experimental technology. It’s delivering big returns in every aspect of the enterprise, helping companies become more efficient, more profitable and closer to their customers.

INSIGHTS AND PATTERNS

  • Conversion of session data into customer data to facilitate segmentation and profiling
  • What factors drive your customer’s behavior? Visualizing and statistically analyzing your data can reveal hidden predictors that you didn’t know existed.
  • Employing a scientific pricing approach starts with micro-segmentation, willingness-to-pay, and a goal. The result of pricing optimization is a set of guidelines for a specific customer, product and transaction – a beacon for pricers, negotiators and sales teams – to identify the pricing sweet spot in every situation.
  • Insight into patterns that improve customer satisfaction and sales
02-20130312-fax-pattern-banner
14957830_l-1024x1024

BUILD CUSTOMER PROFILES

  • Identifying the right customer segments for promotion tracking Transaction Patterns & Site / Search Behavior
  • A scientific sales approach creates predictive account scores based on your company’s attributes, leads, champion activities, and product offerings. Give your account managers and sales teams the opportunities that have the highest chance to convert, the offers that will win, the tailored cross-sell and up-sell offerings they need, as well as the warning signs of possible attrition.
  • Know which offers to present starts with mining your customer, product, offer and transaction data, employing choice models and optimizing the offers based on your strategy.
banner-2

Check out our Data Scientist’s work for yourself.

Akvelon

Akvelon