At CBIG, we believe Data Science holds promise as the next giant leap in the evolution of business intelligence to convert data into information and knowledge. Integrating large volumes of data with advanced analytics techniques, modern computer technology, and domain expertise within specific business sectors, our CBIG Science™ service offering springs from our clients’ growing demand to look inside the crystal ball of Big Data to predict the future of their enterprise.
CBIG Consulting’s CBIG Science™ services are ideal for businesses that want to understand why they’re losing ground to competition, or if they want to predict future earnings based on a number of converging factors: past performance, current and forecasted economic conditions, social media sentiment, website activity, and customer churn rates, among others. What sets CBIG’s data scientists apart from pure statisticians is our computer programming expertise—which we use to manage large data sets—combined with our emphasis on business domain research and knowledge, which we leverage to guide our analyses.
To manage all this data our CBIG Data Science specialists use new tools and technologies including Hadoop, MongoDB, Map-Reduce, Natural Language Processing (NLP), columnar databases, NoSQL, Cassandra, Pig, Hive, and Impala, just to name a few. Businesses and organizations now have access to enormous amounts of data that come in as and/or can be converted into a variety of forms: key-value pairs, documents, object notation, text, free-form language, columnar data, etc.
By combining CBIG’s Business Intelligence, Data Warehousing, and Big Data expertise with advanced statistical techniques, CBIG provides meaningful added value to your analytics initiatives.
Our CBIG Science™ services focus on the following areas:
- Predictive Modeling
- Advanced Statistical Analysis
- Machine Learning
- Data Mining
- Embedded Analytics
- Unstructured Data Management
- Large Data Volumes
- Complex Data Integration
- Industry Specific Research
- Business Processes Analysis