Colossal Analytica
The Next-generation Unified Data and Analytics Platform

The exponential increase in data generated and consumed in the past decade is astonishing. It has also brought along with it new challenges to conquer. The data deluge has spurred a radical shift in how data is ingested, stored, processed, visualized, and shared. Currently, the term 'big data' has been grabbing the attention of enterprises worldwide. The term has even sparked off a sense of intimidation among many decision makers. Enterprises today, understand that they need to transform and become more insight-driven to survive and be competitive in this new economy. So, enterprises use dozens of analytics and big data tools - from basic business intelligence (BI) tools and relational databases to predictive analytics, streaming analytics, and NoSQL databases. In addition, firms struggle with the repercussions of adopting new analytics tools without an integrated approach.

As the result, organizations have too many tools that operate as silos and don’t "talk" with each other. This works for data collection, but not for data science, where integration is critical to turning data into insight and action. In addition, data management can be slow, costly and poorly disconnected data governance and security practices can put your company at risk of compliance violation, penetration or at a competitive disadvantage.The concerns have given rise to a string of data management ambiguities among stakeholders. The concern also revolves around the apprehension of being obsolete and the aspiration to stay ahead of competitors.

Colossal Analytica, a leading big data and analytics solutions provider, has risen to the status of “a problem-solver” for such enterprises overwhelmed with their back against the walls and looking for a path forward. Colossal is propelled by the motto 'Break the inertia, transform boldly' and imparts big data expertise and technology to accelerate a firm’s competitive advantage through insights.

According to Gartner, 85% of companies unbelievably fail in their big data solution implementations for a myriad of reasons, such as lack of analytic talent, tool sprawl, lack of integrated platform strategy, data silos, unsupportive leaders, and failure to prove utility have been the major barriers to the successful execution of big data projects.

It has been observed that data scientists and engineers refrain from experimenting and roping new data management tools that disrupt their existing work environment. Additionally, for most enterprises, the cost involved in the employment of a big data infrastructure deters them from embracing a cutting-edge solution. While small and medium enterprises may need to invest approximately $150 to $300k for an ideal solution, the cost involved for large organizations is several million. Legacy firms, handicapped by budget constraints, and an obsolete data management infrastructure, obviously fail in yielding the benefits of big data. In view of the common hurdles that prevent enterprises in the procurement of big data solutions, Colossal Analytica tailors its solutions to best suit the organizational goals of its clients.

The platform prevents data loss risks and helps users resume workloads at any time even in the case of unforeseen abnormalities. An important motive of the company is to empower data scientists and help them derive better decisions by utilization of data insights, a current gap which needs to be bridged.

In Amucha's opinion, data will power all industries, communities, devices, companies, people - all of us. “This is the future of data. Data will be what drives competition and innovation. So, our goal is to empower data scientist and engineers with a modern platform to help enterprises harness the power of big data and analytics to transform, modernize and monetize.”

Leading the DataOps Movement

Just as its predecessor DevOps began in the corridors of the small techie’s ecosystem and has now become standard practice for IT, so has the DataOps movement- as it is slowly gaining momentum. Colossal believes just as IT operations and development require people, process, and tools, so does data analytics and Colossal has built an unified data platform architecture specifically with this in mind. According to Mr. Amucha, “Our drive is to lead and have the same impact on the DataOps culture as Chef and Puppet had on DevOps”.

The Resource Pool And Success Testimony

The success of any organization is undoubtedly determined by its leadership. Ike Amucha, co-founder, and CEO, Colossal Analytica has over 18 years of industry experience and has played key roles in several Fortune 500 companies, including Information technology giants like Microsoft and IBM. His business partner Aleksandr Kornienko, Co-founder & CTO of the firm, had also held key responsibilities in renowned firms prior to the inception of Colossal Analytica. The most noteworthy of Kornienko's leadership roles is his tenure as the chief architect at Jeppesen, a Boeing company. Mr. Kornienko is the face behind the phenomenal growth of the company's intellectual portfolio and has efficiently spearheaded his company towards building great technology and relationships with clients.

"The Colossal Data Platform has garnered visibility for its ability to industrialize the whole data and analytics pipeline and seamlessly integrate tools that previously functioned in a silo manner"

The testimonials of a couple of decision makers speak volumes about Colossal Analytica's big data challenge mitigation abilities. Ray Wallitner, CEO, Bidpro, a renowned aviation brand, states that the adoption of Colossal's platform has helped in the elevation of his organization's data management capabilities and effortless implementation of security measures that are pivotal for airlines. Sean Frey, CEO, Envision Response, mentions that employment of the Colossal Data Platform has helped the firm gain insights that have improved its decision-making abilities.

The Path Ahead

"We are striving to develop a software development kit that helps clients append applications or layers to our platform," mentions Amucha, giving a glimpse of the company's roadmap. He tosses the example of firewall software to draw a clearer picture of this futuristic milestone. A user utilizing the Colossal platform just needs to download the preferred application, say a firewall, and it can be seamlessly integrated with the platform. The company is also putting its best foot forward to enable secure information exchange between data providers and consumers by leveraging blockchain technology, the current transaction in-thing. Equipped with a clear vision for the future and a highly qualified resource pool continually striving towards better quality, Colossal Analytica expects to scale higher peaks of success in the days to come.