Every day, we create 2.5 quintillion bytes of data — so much in fact, that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data. Data sources continue to multiply in today’s organizations and the volume of data collected is growing fast. It is more and more complicated to have a clear and understandable overview of your data.
For businesses, Big Data is becoming the basis of competition and growth as it can enhance productivity and create significant value. These large pools of data can be brought together and analyzed to discern patterns and make better business decisions such as reducing waste and increasing the quality of products and services. In practice, the value of having accurate information is important in four areas: for operational purposes, for decision making, for regulatory compliance and for a variety of technical reasons.
High quality data about core business entities – provides added capabilities including data profiling, standardization, probabilistic matching and data enrichment.
Data quality within a unified platform – delivers data quality functions as part of a complete information integration platform.
Support for information governance – enables cross-organization data quality and capabilities necessary for your information governance policies.
IBM® InfoSphere® QualityStage® is a foundational component for your data quality and information governance initiatives.
- Establishing Big Data Infrastructure/capability
- Customizing Big Data reference architecture and roadmap
- Integrating large-scale data management platform for the analysis of disparate data sources in their native formats
- Optimizing databases
- Integrating data warehouse
- Delivering hands-on training
The future is now, with IBM Watson
IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data.