Trusted by visionaries

  • Altadata team provides a unique perspective on information with a blend of business and technical expertise to solve complex problems. EPO Platform provides results beyond traditional regression analysis in a fraction of the time. It truly puts information and insight into the hands of the business.

    Steve Hillmer

    Senior Manager Strategy & Operations at RBC

  • EPO benchmarking technology provided ​rich insights, ​while we optimized our 90 country portfolio of brands and categories. The study was subsequently shared with the Coca-Cola Company HQ.

    Paul Fourie

    Group Strategy and Business Planning Director at The Coca-Cola Company Eurasia & Africa

  • We have been working with the team behind Altadata, implementing EPO Platform. At Garanti BBVA excellence in customer service is our top priority. We use EPO's advanced analytical capabilities to exceed service level targets with optimal staffing.

    Hüsnü Erel

    Executive Vice President at Garanti BBVA

  • From day one of our partnership, the insight and expertise offered by the Altadata team has been invaluable. Taking the time to thoroughly understand our business’s unique needs, they delivered a data and insights solution which not only addresses our current challenges, but also sets us up for the future.

    Aldo Cundari

    Chairman at Cundari Marketing

  • EPO Analytics Platform and Altadata services helped our sales management to determine how to use available resources more effectively. With the EPO, it is easier to allocate/reallocate resources and follow up performance results.

    Güldem Berkman

    Former Country President at Novartis Turkey

  • EPO's Peer ​Benchmarking methodology has added great value to our target setting capabilities. We simply moved from comparing our portfolios ​and branches against averages to comparing against peers, ​both for performance reviews and target setting. EPO’s goal-driven ​interface​ enables us to transparently test new targeting models with speed and ease.

    Nazan Somer Ozelgin

    EVP at Yapi Kredi Bank

Frequently Asked Questions

Questions & Answers

What is Retail Data?

There is a tremendous amount of retail data available in the world that comes in many different shapes and forms. It includes any facts or numbers that can be collected and curated about retail businesses which can be used to make business decisions. Common types of retail data include point of sales data, loyalty card data, market data, point of interest data (location) and retail attributes data. Much retail data is proprietary and kept strictly internal and not available for mass usage such as point of sales data, loyalty card data, etc.

Retail data helps create a broad picture of a retail business' health and areas of opportunity for improvement. In essence, retail data is used to help businesses make better choices, run businesses more efficiently and deliver improved customer service solutions.

Who uses Retail Data? What are some use cases?

Retail data can be used for many different purposes and by many different business functions. Commercial leasing experts may wish to understand the retail landscape in a particular trade area to determine where there is opportunity to grow a new product category, Retail Managers may wish to understand the impact of marketing campaigns on sales, and Location Planning Experts may use retail data to understand the competition and optimize a store/franchise network.

Many retailers use retail data to analyze and identify customer trends and changing preferences by combining data from different areas. By merging point of sale data with demographic data businesses can identify emerging trends driving appropriate marketing and product offerings.

Another big benefit of retail data is to help companies optimize their inventory or procurement; businesses can use historical data and trend analysis to determine which products they should order, and in what quantities rather than relying exclusively on past orders.

The location of a retail store is one of the most important factors in the success or failure of that store. The right retail data can provide the necessary information to allow a retailer to evaluate market expansion opportunities by comparing market share.

What are typical Retail Data attributes?

  • Name
  • Address
  • Lat/Long
  • Contact Information
  • Sales Volume Category
  • Number of Employees Categories
  • Square Footage
  • Services and Features Offered
  • Product Category
  • Hours of Operation
  • Parent Company
  • Primary and Secondary Contact Information
  • SIC/NAICS codes (primary and secondary)
  • Website URL

How is Retail Data typically collected?

Retail Data is available through Business Annual Reports, public websites, directory listings, census surveys and independent surveys.

ALTADATA collects and curates retail data from these sources and reports it in a standardized form with daily and weekly updates.

What are the common challenges when buying Retail Data?

Retailers today produce more data than ever before, but his massive amount of data does not always convert into successful solutions. As information and competition continue to increase and evolve, it becomes more difficult to translate information into unique insights that drive business growth. The accuracy and completeness of retail data can be questionable with holes and gaps in the data.

ALTADATA's objective is to sift through this mountain of data, to fill in the holes and gaps, and to provide data sets that contain the key drivers for actionable analytics. ALTADATA's goal is to provide reliable curated retail data with daily or weekly updates at a very reasonable price.