Posted on : July 28th 2021
Author : Anoop Tuli
For a long time, the name “SPi Global” has been synonymous with industry-leading technology-driven content operations. A strong foundation built on subject-matter expertise and technological leadership has been the driving force for this association. At the same time, the last decade has seen the emergence of another shining light in the business. A light, which is in congruence to the macro-trend of “Data becoming the New Oil” everywhere.
We have been working with our clients to build a data-driven decision-making strategy to make their journey of digital transformation successful. A key component here, involves working with a vast amount of data generated in the form of emails, images, financial transaction information, audio files, web page cookies, business documents, and social media messages. As most of this data is unstructured, there has been a need for someone like SPi Global to pitch in and help derive meaningful insights out of this data.
With a team of highly skilled professionals with deep expertise in extraction, enrichment and analysis of unstructured data and backed by highly intuitive and automated platforms, we have been working day in and day out to perfect the art of extracting value from the goldmine of unstructured data.
And our work has not gone unnoticed.
We have been recognized among the “Top 20 Most Promising Big Data Solution Providers – 2020” in a recent listing by a leading global print magazine. The aforementioned list recognizes an exclusive set of solution providers with a proven track record of consistently delivering customer goals. This recognition is a testament to the enormous efforts put in by all our employees and partners and the immense faith placed in us by our clients.
However, this is just the beginning of our journey to reach the apex of this domain as we continue to invest in people and technology.
Our best is yet to come!!
The process of data extraction involves identifying and recovering alternative and semi-structured data from various data sources such as files, XMLs, JSON, etc.
Capital markets are an excellent example of a perfect competition. The nature of the market is such the participants have to be competitive and result focussed. For instance, brokerages and investment banks have to deliver passive gains for their clients and, at the same time, earn a margin for themselves.
Today’s ESG analytics require processing data, patterns, and hidden connections to provide insights that investors, asset managers, and companies need. For example, Straive deploys advanced machine learning algorithms to analyze reams of documents to collect evidence across executive statements for signs of vagueness or obfuscation.
Talking about using data to gain insights is easy. But actually doing it will uncover a newer set of challenges, especially when it comes to unstructured data.
Integrating ESG data into commodities trading operations requires structured, easy-to-consume data. By their nature, ESG data resist such integration, and highly scalable data solutions across the data life cycle are needed to allow stakeholders to deploy end-to-end data solutions for a successful data-to-intelligence journey.
Our solutioning team is eager to know about your challenge and how we can help.