What is Data Science?
There is much debate among scholars and practitioners about what data science is, and what it isn’t. Does it deal only with big data? What constitutes big data? Is data science really that new? How is it different from statistics and analytics? One way to consider data science is as an evolutionary step in interdisciplinary fields like business analysis that incorporate computer science, modeling, statistics, analytics, and mathematics.
At its core, data science involves using automated methods to analyze massive amounts of data and to extract knowledge from them. With such automated methods turning up everywhere from genomics to high-energy physics, data science is helping to create new branches of science, and influencing areas of social science and the humanities.
The trend is expected to accelerate in the coming years as data from mobile sensors, sophisticated instruments, the web, and more, grows. In academic research, we will see an increasingly large number of traditional disciplines spawning new sub-disciplines with the adjective "computational" or “quantitative” in front of them. In industry, we will see data science transforming everything from healthcare to media.
Our Capabilities : A company's technology organization should support its business strategy, not constrain it. TMV. focuses first on the strategic needs of our clients' businesses to determine the technology capabilities needed to support their long-term goals. We help companies address technology-related decisions and ensure their IT organizations and operating models are agile and effective, equipping them to cut through the noise of fleeting technology trends to create enduring results.
IT Strategy
Technology helps companies transform themselves and grow their business.
Heavily technology-dependent to identify the optimal future state of IT
Aligned with business needs
Jointly develop an implementation blueprint.
Focused Service Provider
Applied best practices for Application Development & Maintenance (AD&M)
Expertise in each area of the Software Development Lifecycle (SDLC)
Excellence in development technologies
Leverage re-usable programming assets
Mature Processes
CMMI-compliant methodologies, perfected over a decade of practice, and specifically designed for geographically distributed (nearshore / offshore / onsite) projects.
Measurable project metrics
High level of internal control and efficiency
Stability
Cultivated long term client relationships
Compound annual growth rate - CAGR: 60% (over past 3 years)
Employee retention rate: 90%
Strong group financial position
Prosperous customer relationships – over 90% client retention rate
Easy to work with
Flexibility – In our engagement models (contractual, pricing, SLA, KPI)
Engineers with experience gathered from projects implemented all over the world
Advanced technological infrastructure and security system for maximum client confidence
