5 reasons to choose FindWAtt

There are 5 reasons why our solution is unique and provides the best value.

1. It’s Your Data

We start with your data and:

• Fix it 
• Organize it 
• Split it 
• Complete it 
• Build on it

But with FindWAtt, after we’ve processed it, you get to keep it.

In some categories you can “lease” your product data from data providers.

• Widely available for high value items such as cameras and computers 
• Collected from manufacturers, standardized and normalized – high quality. 
• But: 
  • Expensive. 
  • Subscription based so you have to 
    • keep paying 
    • pay extra to keep data if you end subscription 
  • Won’t necessarily meet your objectives 
    • Can be overkill – easily available "low hanging fruit” may boost your sales significantly. 
    • Still requires organization

“Leased” data is a great solution for some retailers. The key is to identify your strategic product needs (we can help) and match your choice to them.

2. It’s “Magical”

“Magical” seems hyperbole but that’s how some of our customers describe the transformation:

• From error-ridden, unstructured (no or few attributes), poorly organized and neither standardized nor normalized. 
• To error-free, structured (plenty of attributes), well organized, standardized and normalized.

It’s not magic, of course, just some clever techniques and algorithms that have come from years of experimentation and research.

So if your product data has seems overwhelming or a hopeless cause, take a look at some of our examples and let us do a diagnosis.

3. It’s Automated, Accurate & Repeatable.

Our system is smart:

• It learns your data 
• It figures out domain knowledge (e.g. applicable attributes & values) 
• It does this consistently. Unlike humans: 
• It doesn’t do things one way one day and another way the next. 
• It doesn’t have to worry about different people doing different things differently 
• It’s repeatable: 
• The same product data can be run multiple times to: 
  • Fix any errors missed 
  • Correct any errors made 
  • Add enhancements periodically 
• New but similar product data is processed faster using what’s been learned.

There are many alternatives for outsourcing data improvement but: 

• Most providers have limited automation and results are subject to human error. 
• High quality providers having domain knowledge of your verticals are not cheap. 
• Timeframes are long.

4. It’s Our Headache Not Yours

We run your data through our system so we are our own customers

• You don’t suffer software bugs or limitations, we do, and we fix them fast! 
• Our mantra is “manual is a dirty word” so: 
• Anytime there’s a new data problem we haven’t seen before, we’ll write a new algorithm. 
• It may start with only 70% automatic/30% manual but we’ll quickly push it up to 90%/10% and then aim for our standard goal of 99%/1%.

To get the benefits of automation, you can buy data quality software but it:

• Requires you to learn and operate it 
• Is expensive – sometimes in the hundreds of thousands of dollars. 
• Doesn’t have the incentive for continuous and rapid improvement. 
• The business model is to sell systems 
• Upgrades are only periodic.

5. It’s Transparent & Fair

We’ve designed our pricing to optimize the mutual needs of customers and ourselves.

• Transparency. We bill on an itemized basis for actual work done (e.g. extracting attribute values), instead of: 
  • $/Product or SKU. 
    • Without expensive data profiling, it’s impossible to tell in advance what data work is required. 
      • Customers naturally want an estimate for budgeting reasons 
      • But forcing a fixed estimate leads vendors to: 
        • Inflated “finger in the air” pricing, or
        • Lots of outs in contract to raise price.
  • $/Hour. 
    • We are happy to provide consulting
    • But our goal is to be 10x to 100x more productive using our multi-million dollar system, which means: 
      • Lower prices for you 
      • More money for us 
• Fairness. Our prices decrease as the system learns customers’ product data.
  • Self-learning means that 10,000 products in a category is not 10x the cost of 1,000 products in the same category. 
  • Processing updates or new data is cheaper because our system has already acquired domain knowledge from the first job.