Posted on : April 21st 2022
Were you aware that a human brain receives 10 million bits of information in one second? It's similar to a computer when it downloads a single piece of document from the web over the internet.
But did you know that information processed by the brain is only 30 bits per second¹? So 70% of it is ideally lost!
The same goes for an organization.
Did you know that according to Forbes, there are 2.5 quintillion bytes of data created each day, and only 0.5% of data is analyzed! That is definitely mind-boggling, isn't it?
Data firstly helps you understand your current ongoing business process (derivation of data) and help you make suitable decisions to overcome losses, reduce risks and make good investments in the future.
Right from the product design until the customer support and sustainability, you as a company will be dealing with millions of data in the form of information for deriving respective results and making extremely crucial decisions for your company.
Data can be classified primarily into three types: structured, semi-structured, and unstructured data.
But did you know that of the total data your company has access to, approximately 80-90% of it is unstructured? But what is unstructured data? And how are the different types of data classified into? Let’s look further into this today.
All Data in varied formats can be classified into Semi, Structured, and Unstructured Data.
Let’s elaborate on the specifications of each for better understanding.
Source: Tutorialspoint
We need to find opportunities to manage and derive actionable insights from the 2.5 quintillions of data being generated every day to be on par with our competitors. As most of the organizations have 80-90% unstructured data, it is vital suitable means and methods are used to create hard and soft benefits and production of tangible business value.
With the estimation of the unstructured data growing at a staggering rate of 55-65% each year, it becomes imperative that suitable solutions are catered to by the organizations all around to create sustainable outputs.
This is exactly where Straive comes to play!
Straive helps unlock the potential of unstructured data with its proprietary Straive Data Platform (SDP). The end-to-end data management platform provides – faster time to market, better data coverage, consistent quality, and scalability – through a structured approach and an automated platform.
Reference
¹ www.npr.org/2020/07/14/891140598/understanding-unconscious-bias
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.