PluggedIN: Intelligent Document Processing

Intelligent Document Processing: The Present and Future of Automated Information Management Q3 2021

The short answer? Most of them. Outsourcing data gathering and analysis can help companies of all sizes and in all industries better understand their customers, refine their products and services, and generate more powerful insights into the best ways to run their businesses. Working with a data science partner also accelerates improved data gathering methods and data analysis. Building a data collection and management system from scratch is a difficult process requiring a large investment in time and money. When data management is not a company’s specialty, developing these tools and procedures internally can be a major detractor from the company’s core mission. Even companies that are capable of managing andanalyzing their owndata can benefit from outside support, as well as the experience and computing power a DSaaS provider can offer. Partnering with a DSaaS provider also enables data volume balancing during periods of increased processing demand, and it can be a cost-effective way to leverage more advanced technology that your company may not otherwise have access to. Which Companies Can Benefit fromDSaaS?

Global Big Data and Business Analytics $274.3 billion by 2022

Most modern companies already know that data has become possibly the most valuable business commodity available; but many are still unsure of how best to leverage the data they have. Gathering more data is one thing. Solving the problem of how to utilize it is another. Companies that figure out the latter can create a significant differentiator and competitive advantage for themselves. Part of the trouble is that most businesses don’t specialize in the collection, management, refinement, and analysis of data - many don’t attempt to utilize data at all. Recent polling suggests that less than half of global businesses (48.5%) are using data to boost innovation . 12 Despite the known benefits data-driven strategies can provide, implementing data science into an established business process can be very difficult for companies without data specialists. One way these companies are now getting around this issue is by working with a partner that does specialize in data science. This type of service is now referred to as Data Science as a Service (DSaaS) or Analytics as a Service (AaaS).

48.5% global businesses are using data to boost innovation

$45.87 billion by 2026

$12.02 billion in 2020

Analytics as a Service Market

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