As companies modernize their data stack and continue the migration to the cloud, there is new potential to tackle the unsolved problem of the single view of the customer. While the cloud ecosystem has transformed infrastructure management, attention can now turn to the usability of the data itself and its ability to feed analytics. The aggregation of data has unleashed the potential for advanced analytics as data silos are broken down. The next step is to master the data to ensure it’s usable — clean, curated, and complete — before it reaches analytics tools and data scientists.
Customer mastering creates a unified, accurate, enriched view of customer data across systems and sources and a unique identifier so the customer can be consistently tracked. Mastered customer data can then feed both operational and analytical systems, from CRMs to ERPs, and marketing automation tools to business intelligence tools and dashboards. The goal is to ensure trustworthy, up-to-date, holistic information is driving decision making for customers.
Create a holistic view of customers across touchpoints
Mastering your customer data at scale gives sales and marketing organizations a powerful way to accelerate data-driven selling and enable customer insights for competitive advantage.
Benefits for B2C companies
Offer tailored products and boost up-sell opportunities: Use machine learning to enrich customer data with dozens of third-party sources to enhance customer targeting and offer personalized product suggestions.
Retain more customers with personalized customer experiences: Create a Tamr ID for each customer, connect transactions data, and power Customer 360 programs to provide superior customer service across the organization.
Power analytics that uncover new market opportunities: Effectively connect customer data to transactions, products, and external data sources to view consumer spending behavior and identify new market opportunities.
Benefits for B2B companies
Drive upsell opportunities: Provide users with a holistic view of sales across the customer hierarchy by location, corporate parent, contract, etc. to improve customer targeting and identify more business opportunities
Streamline data operations: Leading with a machine learning-first approach that generates golden customer records in 10% of the time so that data stewards and data users can spend less time fixing the data and more time analyzing it
Lower risk: Equip users with a unified view of customer networks across customer corporate hierarchies so as to have a high level view of risk exposure to each customer groups
A solution built on patented, innovative machine learning technology
Tamr’s data mastering and enrichment solutions make it easy to integrate internal and external data sources quickly to power analytic insights and drive business outcomes. Our integrated turn-key solutions combine machine learning optimized for scale and accuracy, a low code/no code environment, and data enrichment built into the workflow to streamline operations.
Littelfuse discovers its true customer base amid dirty sales data
Right away the insights that we got into our customer base, our sales orders, and our churn rate were really astounding.”
Ryan Stafford, EVP, Littelfuse
1.4M assumed customer accounts unified to reveal underlying 500k unique customers
Better understand your customers with clean, complete and unique records
If done correctly, customer data mastering offers your teams a powerful way to accelerate data-driven selling and enable customer insights for a competitive advantage.