As you make your list, consider the full impact of what automation could mean for your business.
That means dig deeper.
It’s more than saved time…
...it’s an ability to focus on activities more strategically than data scraping.
What are the results of these activities?
What would those results mean for your employees?
What would those results mean for your business?
It’s more than increased accuracy…
...it’s higher quality data that leads to an increased trust in the numbers.
What would virtually 100% accuracy do for your business?
How could you turn that into a marketing or sales message?
What could more accuracy mean for customer trust?
It’s more than lower costs…
...It’s allowing skilled workers to focus on what they do best, rather than tiresome, monotonous, and deadly boring manual data extraction work.
Where could you shift the focus on your workforce that’s currently on data extraction duty?
What would that shift mean for morale?
How could that impact your overall business performance?
QUESTION 3: What Are Some Functional Areas or Processes That Could Use the Accurate Data Extracted from These Tables and Charts? How Could Your Business Benefit?
Consider all of the functional areas and/or existing processes that could benefit from more accurate, extracted data.
List them out. (Really! I’ll wait for you!)
Think of all the people that either already consumes the data…
Think about all the people that could use this data to make more informed decisions.
And, consider this quote from a leading insurer to help paint the picture:
“If we could extract full information, then we could offer insights as a service to the rest of the organization. That means being able to automate other downstream processes.
For us, people across different BUs end up reading the same material every day just so they can run their processes. If we could extract ALL the data, then we could generate a ton of cost savings...and increase our speed to market, too.”
Once you have your list, you’ll have a better idea of just how big an impact quicker access to more accurate data can have for your business.
QUESTION 4: Have You Tried to Extract Table Data from PDFs, But Found You Always Hit Roadblocks?
Maybe you tried OCR.
OCR didn’t work.
Maybe you tried cloud tools from Amazon or Google.
Cloud tools from Amazon or Google didn’t work.
Maybe you tried [FILL IN WHAT YOU TRIED HERE].
[FILL IN WHAT YOU TRIED HERE] didn’t work.
The thing is, many people try this...and many people fail.
But the failure that so many experiences doesn’t have to be the norm.
QUESTION: 5: As a result of Those Roadblocks, Have You Determined Extracting Data from Tables Cannot Be Done Outside of Manual Efforts?
Have you determined automating this type of data just cannot be done?
If so, that would be a shame.
Because you CAN automate data extraction, no matter how complex your documents can get.
For example...consider this large insurer (you may know).
The large insurer (you may know) was using a manual process to extract data from documents that had tables, as well as other images, photos, fonts...even handwritten sections,
Their process? It took four weeks to fully complete.
How can I try Infrrd before I commit to a full deployment?
Sure. The first step is to schedule a guided demo where you get to jump into the thick of it. After you explore our solution you can try a proof of concept. When you're ready, you can deploy the system to one use case. Then more use cases. Then across your enterprise.
Glad you asked. Our data extraction process runs on servers. We have found performance and accuracy decline when running on a desktop or mobile device. (Remember Infrrd is running a powerful AI stack).
In a fast-paced world filled with never-ending rivers of documents and data, organizations continuously need smarter ways to work. Teams need flexible solutions that enable them to work faster while delivering higher levels of reliable accuracy than ever before. At Infrrd, we empower teams with Intelligent Document Processing Solutions for Intelligent Work™.