Big Data & Analytics From CapB
With multitude of Data Scientists, Data Engineers and Visualization Experts, CapB apply science and the latest tools and technologies to improve decisions at the world’s largest companies and State and local governments. CapB utilizes Algorithmic & Predictive approaches to extract patterns, insights, and value from data, in a business decision-making context. The end-to-end pipeline of Data > Modeling > Decisioning > Deployment, is integrated and applied in specific business decision context, through which CapB delivers clear and measurable impact both on revenue and cost to our clients. CapB’s objective in delivering data science and analytics is just that – ensuring measurable business value.
CapB pioneered Predictive modeling and Big Data solutions. For instance using SAS, R, we developed Predictive solutions to find when a non-custodial parent will be delinquent for Child Support Solutions in state and Local governments. For a Health care solution provider, we did a Multi-million dollar Project for a Payer provider portal solution and Population health Management involving Hadoop and “R”. We also developed Algorithmic Trading solutions and “Out-Of-Stock” and Forecasting Solution, generating stable prediction of sales volumes, by applying multivariate analysis Bayesian statistics and predictive modeling tools.
CapB’s Big Data and Analytical solutions can help manufacturer collect and analyze information from a wider range of sources including PLC to help understand and accurately identify Energy savings and waste Management, and also take Preventive measures before equipment failure.
Through Big Data we are helping institutions realize value by effectively managing and analyzing the rapidly increasing volume, velocity and variety of new and existing data, and putting the right skills and tools in place to better understand their operations, customers and the marketplace as a whole. Through Customer Intelligence we are helping them to Analyze, understand, and forecast behavior. Our consultants brings the unique qualifications of both technical and functional knowledge and most of them are certified across functional and technical areas.
Data Integration: The power of Big Data is multiplied manifold when different data sources are combined. We have the technical and business know-how required to efficiently and effectively combine various data sources in getting company-wide holistic and in-depth view.
Data Warehousing & Data Lakes: CapB sets up Intelligently designed Big Data ecosystem with Data warehouses and data lakes which meets current and future needs including Optimizing Big Data infrastructure for workflow; Incorporating data from new and traditional sources; Blending the right technologies to achieve specific goals.
Big Data Analytics: CapB help extract insights from fast-moving data on the fly with big data analytics. CapB uses machine learning, text analytics, and other advanced techniques to provide information that businesses need to react to events and make better decisions faster than ever.
- Increase efficiency of the data analytics process: CapB uses modern techniques like Naïve Bayes, Hidden Markov Models, Gradient Boosted Models, Supervised and Unsupervised Learning, self-learning models, etc.
- Test and adopt new tools such as Hadoop, SAP Hana, Hive and Python to generate more impactful results
- Incorporate advanced analytics like complex event processing, sentiment analysis and SPSS modeling by leveraging knowledge and experience of our data scientists and data engineers
Big Data Visualization & BI Dashboard: Comprising data visualization, BI platform technology, and emerging advanced analytics techniques like machine learning, deep learning, Capb Business Intelligence (BI) services and AI-enabled living dashboards give clients mainline access to new insights and more informed decisions. CapB helps in accessing results faster with in-memory visualization, developing action plans based on clearly presented data including mobile device utilization. Structured, unstructured, powered by companies or the Internet of Things (iOT) – whatever the source or type, CapB brings clarity through custom BI solutions along with Hadoop, SAP Hana, Red Shift, Big Insights GoodData, Tableau, Qlikview, Pentaho, Microsoft technologies, Microstrategy, SAP BO.
Big data Application Development: CapB develops customized big data applications to explore, analyze, and manage a wide range of need based data supporting even streaming, traditional, and unconventional data types.
Predictive and Behavioral Solutions: CapB through Predictive and behavioral analytics allow businesses to quantify and forecast the value of individual customers across time, product lines, segments and even channels. The ability to identify and curate high value customers brings clarity to marketing strategies and initiatives.
MOBILE BI: CapB offer responsive design services for multi-channel access to reports and dashboards. Deploying mobile BI apps on leading mobile OSs
Data Integration: CapB provides a unified view of data from every link in the big data chain–from machine learning to artificial intelligence to information gathered from the Internet of Things– across Data warehouse and data mart technologies storing, managing and transforming data. By automating data cleaning and harmonization rules CapB makes continuous improvements in data warehouse technology giving systems agility and stability to implement more sophisticated techniques like AI, deep learning and IOT analytics.
Ensuring Data Quality and Usability:
- CapB’s Data Preparation as a Service. CapB uses the science of creating business-ready insights and leveraging organization data to its full potential. CapB’s Engineers sets up highly scalable data wrangling solution leveraging best of breed tools and technologies tailored to the analytical needs of CapB’s client business. CapB’s solution leverages big data, machine learning and natural language processing-based data quality techniques to prepare high-quality data at scale.
- Rapid Data Assets: CapB’s Rapid Data Assets solution helps businesses leverage rich data from different functions of the organization that helps deliver these assets to a wider audience across and beyond the boundaries of the organization creating a significant business and monetary value through IoT & Sensor Analytics, Predictive Maintenance, Resource Optimization, Contact Center Analytics, Store Operations Analytics, Fraud Analytics, Demand Forecasting, Sales and Shipments Forecasting, Inventory Management, Geo-spatial Analysis, Network Planning, Fleet and Logistics, Labor Optimization, Workforce Planning, Sales Force Mapping, Learning Effectiveness, Employee Lifecycle
CapB’s “C-Focal Point” Strategy
Strong alignment is critical to the success of any effort. CapB C-Focal Point Strategy specializes in enabling groups to rapidly align around clear executable outcomes. From Measuring-to Maximizing and Maintaining your Processes using Enterprise Modeling & Applications & Analytics.
CapB’s ” C-Focal Point” strategy coupled with our technocrats, will provide greater ROI ,whether you are on your first SAP implementation or want to increase the value of the applications you already have, or moving towards Cloud Solutions and Managed Services.
Project Management Life-cycle @ CapB
The CapB project management framework and methodology (CPMM), is the blueprint for project management at CapB. It offers a common language, a common approach, and a common training model for the discipline of project management in the CapB environment. The CPMM augments the conceptual model derived from PMI, and extends it by adding Customer Relationship Management. It incorporates best practices from the PMI, (SEI) , (CMM), Agile . Because of the complexities of managing large projects, and controlling a myriad of parameters, the CPMM is organized into a framework of processes, procedures, best practices, and tools designed to provide flexibility and discipline to the project management team. Figure on the right, CapB Project Management Methodology, provides a high-level view of integration of our project management approach and our systems development processes.