Data Assets (DW, MDM, DQ, and Big Data)
The most successful companies have a keen understanding of the value of data. This includes data they generate, data they procure, data they mine from the Internet and data they obtain from other external sources. In today’s competitive landscape, data is as much an asset as any other that a company owns. An organization needs an effective information management foundation to make this goal a reality. OSI can help you with the methodologies, tools, and skills needed for your data warehousing, master data management, data quality, and big data initiatives.
An enterprise data warehouse and the corresponding departmental data marts represent significant corporate investments. As with all OSI Value Engineering engagements, these projects start from a clear understanding of the business objectives. Through a series of workshops, we lead the project team through the analysis and design of the essential conformed dimensions, hierarchies, and measures. The logical database design is then transformed into an optimized physical dimensional database implementation.
In addition to the understanding of the target data warehouse, an analysis of the source data systems forms the basis for the design of the extract, transform, and load (ETL) workflows and mappings. The OSI business intelligence consultants are experts with leading tools including Informatica PowerCenter, Informatica Cloud Integration, Oracle Data Integrator (ODI), and Microsoft SQL Server Integration Services (SSIS). Unlike other consulting companies that simply focus on the technical implementation, we build a robust system of management processes, monitoring procedures, and automated technology to ensure a platform that is scalable and sustainable.
Master Data Management
The data-driven enterprise ensures that every system, every data warehouse, and every knowledge worker uses a common definition of their most critical master data – customers, vendors, products, etc. With the proliferation of transactional systems, many with overlapping capabilities, an effective Master Data Management (MDM) platform is essential. OSI’s team of MDM experts can help you select the best technology, including Informatica, Oracle, and Microsoft. More importantly, our team helps with the business process workflows and change management. The combination forms the basis for an effective master data management platform.
Ultimately, the quality of your warehouse and analytics is no better than the quality of the data. For this reason, OSI focuses on data quality throughout every engagement. We start with a careful analysis of the quality of your source data, developing remediation plans where necessary. Data quality checks are built into every step of our ETL workflow designs. During routine operations, data quality issues are escalated so they can be resolved before impacting the business. This ensures that the business can consistently rely on the results delivered by your data analytics systems.
Some data challenges require more scalability, throughput, and capacity than is possible with traditional data warehouse platforms. Gartner defines big data as ”high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.” OSI has the expertise needed to ensure the success of your big data initiative. Choosing the best from the Hadoop ecosystem (MapReduce, Cloudera, Hortonworks, Spark, Impala, HBase, Hive, Pig, Sqoop, Flume, Kafka, etc.), we can help you select, design, and implement the architecture that is right for your specific use cases.
Whether you are just starting your information management practice or you are looking for a partner to optimize and extend the capabilities of your existing platform, OSI has the methodologies, tools, and skills needed to guarantee the success of your project.