The Benefits of Running an Effective Content Analysis Phase Prior to Migration - Part 1
06 Jul 2020
According to projections from IDC, nearly 80 percent of global data will be unstructured by the year 2025. For many big-scale organizations, it’s already reached that critical mass. Unstructured data create numerous challenges for companies who intend to utilize their information for business analysis. Around 2.5 billion GBs of data are produced every day, and businesses face troubles to keep up with this ever-increasing volume of information.
Enabling Digital Transformation and going Digital
Digital transformation and going Digital with a data-centric and data-driven mindset within the business domain is a solution mantra for lots of enterprise organizations today.
Businesses utilize structured data by facilitating relational databases and spreadsheets, wherein patterns can without any difficulty be identified. Nevertheless, unstructured data, which comes in the forms of blogs, emails, social media posts, old documents, images, or videos, showcase a momentous source of opportunity for diverse businesses.
Because of the unstructured format or nature, it is complicated for people to gain insights from it using traditional systems. And because so much of data generated these days is highly unstructured, companies require understanding what really is there in this data, or risk missing out on considerable amounts of digital intelligence.
Significant Data Challenges and overcoming them
Businesses in today’s digital space are highly data-centric as well as data-driven. They face data-related challenges with constant data growth and impact on their storage processes. They face challenges with the utilization of hybrid and multi-cloud environments, data life-cycle management for regulatory compliance, unproductive data resource handling, and, most crucially, finding value from already collected data.
To overcome these data challenges, organizations require content management tools to assist them and smartly deal with unstructured data. Content management tools help in the enablement of a view of data transversely across the deployment locations. They even assist in enhancing metadata-based tagging offering context to data for simple search and recovery, and valuable policy-based data life-cycle management.
ROT (redundant, outdated, trivial information)
ROT is digital documentation that a company prolongs to retain even though the data or information that is documented has no business value or legally useful. The staff members create ROT by saving manifold copies of the same information, obsolete data, and irrelevant information that does not assist the organization meets its decided goals. Most companies find ROT creeping around within their significant networks or SharePoint servers, on staff devices, desktops, mobile devices, tablets, mainframe computers, and also present right in the cloud.
The committed team at Proventeq breaks down silos by providing a highly effective experience for utilizing and leveraging information that is stored in any system or diverse repositories. These systems include ECM, ERP, CRM, file-sharing services, network folders, SharePoint, and other repositories. Trust Proventeq’s enterprise-grade product platform which delivers relevant answers, insights, and text analytics right from your stored or ineffective unstructured data sets.