Just as rare minerals lie hidden beneath the earth – abundant yet difficult to discover and extract – the real value of data often remains locked away. We can chart distant planets at the pace of dozens a month, reaching farther into the cosmos than ever before. And yet, within our own digital universe, the vast expanse of unstructured data remains unmapped, waiting for us to discover and make sense of it. We need to leverage intelligence multiple data sources and multiple data types to stay current, gain path-breaking insights on customers, and gain knowledge of market growth possibilities.
Most organizations struggle to bring even known, structured data under governance. How can you govern what you do not know exists within your data landscape? Gartner reports more than 80% data is Unstructured Data. While data storage continues to get cheaper, the management of ever-growing volumes of data is becoming increasingly expensive. On top of that, the rise of AI has introduced a new challenge; the biggest bottleneck for generative AI lies in dealing with Unstructured Data. The overwhelming unstructured data comes from sources like social media, chat, email, web logs, product reviews, market research, customer care conversations, location stream, voice of customer, insurance claims, consumer feedback and employee narrative through performance review. The main challenge is to derive reliable and relevant insights from every increasing stream of data and maximize business value buried in unstructured data.
“ If we struggle to implement effective data and AI governance for data in traditional relational databases, the challenge becomes far greater for data that exists outside well-defined structures. ”
We need a different approach than traditional data governance to unlock value from unstructured data sources knowing where data resides, what it contains, and how its entire lifecycle is secured and governed. The financial domain need information security and auditing standards for better data discovery and classification. When you don’t know much of your unstructured data, it is going to be difficult to apply policies and standards? When it comes to unstructured data, it’s about fine balance between compliance and monetization of data.
This focus demands visibility beyond data sources into the end-to-end data pipelines that process large volumes of sensitive and personal data. Such data must be rigorously anonymized or de-identified prior to downstream use. When the uncertain nature of unstructured data is combined with the high cost and complexity of regulatory compliance, organizations face significant challenges in bringing this domain under effective control.
At 1lessclick, we help our clients to understand the different components of discovering, cataloging, and governing their unstructured data sources. Unstructured data governance becomes business-critical, there is no wait time now for uplifting the unknowns.
Most organizations struggle to bring even known, structured data under governance.
Most organizations struggle to bring even known, structured data under governance. But how can you govern what you do not know exists within your data landscape? Gartner reports more than 80% data is Unstructured Data. While data storage continues to get cheaper, the management of ever-growing volumes of data is becoming increasingly expensive. On top of that, the rise of AI has introduced a new challenge; the biggest bottleneck for generative AI lies in dealing with Unstructured Data.
(we should draft metaphorical/ story telling rather than stereotype business focused)
Just as rare minerals lie hidden beneath the earth – abundant yet difficult to discover and extract – the real value of data often remains locked away. We can chart distant planets at the pace of dozens a month, reaching farther into the cosmos than ever before. And yet, within our own digital universe, the vast expanse of unstructured data remains unmapped, waiting for us to discover and make sense of it.
At 1lessclick, we help our clients to understand the different components of discovering, cataloging, and governing their unstructured data sources. Unstructured data governance becomes business-critical, there is no wait time now for uplifting the unknowns.