A new data landscape has emerged. One where the decision making process of large enterprises is dictated by the ability to collect, store, process, and analyse the data surrounding their businesses. With the massive volume of data generated by connected services and the growing emphasis on data-driven intelligence, the need to manage data and translate it into relevant business insights has only become greater.
Srisys Inc is dedicated to helping clients exploit the large amount of both structured and unstructured data within their organisation. We rely on a deep understanding of enterprise information management and strive to deliver efficient and cost effective solutions that ensure you leverage information as an asset, make informed strategic decisions and derive real business value from your data resources.
Offering
The Srisys Inc Big Data & Business Intelligence Practice is a team of architects, consultants, data scientists, and developers with more than 12 years of experience and award winning projects. We cover the entire information lifecycle across two focus areas, each with its own subset of dedicated services:
Big Data
Our Big Data service is optimised to deliver innovative, scalable solutions for huge volumes of data (Petabytes). Based on our knowledge of Big Data technology we provide:
- Solution integration: full integration services for all major Big Data platforms
- Agile Software development: end-to-end software solutions based on the latest Big Data technologies and Lambda architecture
- Real-time data processing
- Real-time analytics
- Streaming scoring prediction
- Pattern recognition
- Machine learning
- Fast search, smart filters
- Migration of legacy systems to a new solution based on Big Data technologies
- Migration of conventional data warehouses to Big Data technologies
Data Warehousing & Business Intelligence
Srisys Inc Business Intelligence services enable you to make insight-based decisions and leverage relevant data to get a single view of all your information. We integrate data from multiple sources in an easily accessible database, making sure your data is as simple and actionable as possible. We focus on:
- Analytics: data mining, data forecasting, predictive analytics
- Business Intelligence: data modelling, analysis and reporting
- Customer intelligence: campaign management, marketing optimisation
- Data management
Technology Stack
Our information management portfolio consists of multiple well-known technologies (open source and proprietary) including, but not limited to:
- Hadoop Stack (Cloudera, Hortonworks, Pivotal, Amazon)
- Storm, Spark
- Scala, Python, Django, Flask
- SolR, Elastic Search
- RabbitMQ, Kafka
- NoSql databases
- Teradata, Greenplum, Redshift, Oracle, SPDS, MSSQL
- SAS
- AbInitio, Informatica, IBM Data Stage, Talend, Pentaho, ODI, SAS DI
- Talend, QlicView, Birst, Cognos, BO, Jasper BI, Oracle BI
