Findability Sciences - Managing Big Data Analytics with an Ecosystem of Solutions

CIO Vendor With big data, it’s crucial to be able to scale up and down on-demand. Constantly interrupting a project to add additional resources eats into the time frame for data analysis. The workloads that accompany big data also tend to be convoluted, making it difficult to determine where resources should be allocated. While Hadoop and the surrounding ecosystem of tools is lauded for its ability to handle massive volumes of data, the technology isn’t easy to manage and requires extensive internal resources to maintain, negatively impacting with an organisation’s ability to gain business insights in real time. Boston headquartered Findability Sciences, a solution provider in the area of contextual and big data, attempts to address these fundamental concerns of navigating big data and aims to bring effective big data analytics strategies.

Established in 2010, the organization offers affordable solutions that combine the cognitive computing capabilities of IBM Watson with the finding potential of Findability Platform to navigate through sizeable amounts of structured and unstructured data, helping to uncover trends, patterns and correlations that enable faster decision making for customers. The integration of cognitive technologies gives the Findability Platform attributes such as built-in machine learning and natural language processing, giving the users speed, authenticity and simplicity of interaction with the system. This platform also incorporates IBM BigInsights technology which facilitates greater depth into big data, combining the power and flexibility of Hadoop with enterprise-class tools like dashboards and text analytics, making it a one stop solution to solve unique business challenges of customers. With the market gravitating towards solutions that provide Systems of Engagement and Insights, Findability Sciences believes that Findability Platform caters to these requisites.

“The industry needs solutions which use Data effectively and provide insights, patterns and predictability.At Findability Sciences, we believe
we are on the right path as our product continues to enable systems of engagement and insights,” says Anand Mahurkar, CEO, Findability Sciences.

Leveraging Predictive Analysis for Different Platforms
In addition to its flagship offering of Findability Platform, the company has introduced solutions to tackle predictive analysis and churn management, by acquiring stakes in to a Boston based predictive analytics company, Soft10 Inc.. Merging the Findability platform with Dr. Mo, a statistical software that automates predictive behavior without any manual interventions, Findability Sciences enables clients to analyze substantial data and apply predictive analysis to valid data models, helping them identify potential future opportunities and risks and thereby gain a competitive advantage. This predictive analysis system is also utilized by the company to intercept Customer Churn which is a critical problem for the industry. Companies can leverage predictive analysis to map digital body language and accurately predict customer behavior and thus take proactive measures to prevent the churn.


The integration of cognitive technologies gives the Findability Platform attributes such as built-in machine learning and natural language processing, giving the users speed, authenticity and simplicity of interaction with the system.


This portfolio of offerings along with a scheme of joint ventures allows Findability Sciences to bring an assortment of technologies to different industry verticals such as the agricultural, healthcare and banking industries. Envisioning to grow further in the Big Data, IOT and Cognitive Solutions space, the company aims to be a leading service provider and serve its customers with a vision of providing “Joy of finding vs Pain of Search.”