Quematics | Data Analytics
Quematics – Advanced Analytics
Quematics is a data science research lab helping businesses leverage Data, Machine Learning and Artificial Intelligence to increase business value and create a future of growth. We are trusted by many companies who instead of deploying expensive in-house Data science & AI resources rely on our advanced analytics research and development services.
Data
Science
We apply complex statistical algorithms and machine learning models to data and provide predictive and prescriptive analytics. As a result, our customers are able to find hidden patterns, dependencies and trends to spot opportunities or threats well in advance. We are trusted outsourcing data science partners for many global companies providing them with actionable insights on regular basis.
Data
Visualization
Data visualisation is a fundamental part of data analytics process, as it allows business to instantly spot opportunities / threats, track KPIs, demand and supply trends, performance comparison and many more. We provide outsourcing data visualisation services to our partners so that they can track their key performance indicators and helps them with the answering business questions of any particular opportunity or threat.
Machine
Learning
We work with companies, use their data sets and create statistical models to give computers the ability to “learn” from data and then forecast future trends. It helps our partners to spots patterns and hidden insights based on data sets. Once deployed, machine learning models learn from data and become more intelligent, these algorithms can overcome program instructions to make highly accurate, data-driven decisions.
Artificial
Intelligence
Artificial intelligence can analyze data, make assumptions, spot trends, learn and provide predictive analytics at the scale which is impossible for human data scientists. We have expertise available to group together several technological innovations whether it’s speech recognition, virtual assistants, machine learning, deep learning, text analytics, sales data, marketing data and social media to develop artificial intelligence solutions.
Intelligent
Applications
Intelligent applications use incoming real-time data to respond at the point of decision to changing circumstances and formulate positive outcomes. This new generation of applications are also able to provide analytics at many decision points. At Quematics, we live and breathe the integration of business process with advanced analytics and experts in building intelligent applications compatible with data process.
Business Intelligence
& Big Data
For 4+ years, Quematics has been providing end-to-end business intelligence and big data services that include consulting and design, development, data visualisation and testing to support businesses the from informed decisions. We put customer’s needs at top of out priority and provide customised solutions to help business to adopt an advanced approach to data.
Advanced Analytics we offer
INDUSTRIESQuematics Analytics have extensive analytics experience across many industries
Retail
Predicting customer behavior or improving buying, pricing, tracking sell-throughs or benchmarking store performance – the opportunity to do exciting and impactful work is immense.
Social & Public Sector
The nonprofit, government and higher education sectors play a significant role in the global economy—and in the lives of people around the world.
Technology
As executives in the technology space well know, running software, hardware and technology service businesses presents unique management challenges.
Telecommunications
Telecom have challenges around reducing churn and improving lifetime value for their subscriber bases. Prepaid or postpaid bases, the challenges are around extending the tenure that the subscriber stays on the network, selling upsells and plan upgrades, taking better pricing decisions and managing the channel.
Healthcare
Healthcare companies must identify ways to deliver better value for patients, fuel innovation and reduce the cost and complexity of operating systems. The power to access and analyze enormous healthcare data sets can improve healthcare provider’s ability to anticipate and treat illnesses.
Financial Services
Better acquisition, retention, lifetime value, targeted campaigns, marketing spends and channel. We could help financial institutions, from banking and insurance to wealth management and securities distribution, manage risks and serve customers.
Pharma and Life Science.
Pharmaceuticals and life sciences companies are experiencing a wave of competing challenges as part of what could be called the New Health Economy. They include consolidation among providers, especially hospitals, intended to produce efficiency gains; the changing demands and expectations of patients, who seek a greater role in their own care; increasing cost pressures from payors leading to calls for pricing reform; and the declining autonomy of the individual physician as rule-based, protocol-driven care becomes ascendant. The resulting healthcare system will focus increasingly on paying for the value rather than the volume of medical care; in other words, it will be a more consumer-facing industry
