Marlabs developed a competitive
advertising information data warehouse
with extensive reporting and analytics
capabilities for one of the world’s
leading marketing communications
agencies.
Four out of every five CIOs consider Business Intelligence and Data Warehousing to be a top priority.*
Clearly, a well-designed data warehouse can help organizations tide over the ongoing downturn. Organizations are looking to expand usage of data warehousing to operational levels, pushing decision-making down to the front lines.
A recent survey showed that the average data warehouse costs 72% of its build costs to support every year.
But then you do need to closely monitor costs including process costs, resource costs, and technology costs.
Agenda
Shift in Focus -
Rajesh will present a brief outline of the changing priorities of today’s data warehouse programs including the impetus on measuring operational performance.
Data Warehouse Cost Factors-
Rajesh will take a close look at some of the key factors that impact costs, especially the hidden costs associated with different types of deployments.
Cost-effective Implementation - Rajesh will discuss a number of innovative approaches to hold down costs while driving project success.
Assessment exercises, master data management, and upfront data cleansing can help reduce process costs. Careful utilization of resources delivers additional savings. Outsourcing can bring down outlays -- up to a point. In certain areas such as reports and ETL transformations, outsourcing offers considerable potential to squeeze out costs. However solution components such as modeling and dashboards are probably best managed with internal resources due to the need for proximity to business users. Cloud computing and open source tools are some of the avenues to lower technology spend.
Join us and learn more about how you can better manage the costs of your data warehouse initiatives while stepping up the pace of implementation.
Speaker Profile - Rajesh Ramaswamy, BI Practice Head
Rajesh Ramaswamy heads the Business Intelligence/ Data Warehousing practice at Marlabs, Inc. He has over 15 years of experience in the BI/DWH space spanning product development, project services, and implementations at organizations such as Citibank and AIG. Rajesh’s current focus at Marlabs is on architecture and design, strategic consulting, performance management frameworks, and very large data warehouses.
His other interests include embedded BI, estimation techniques, and analysis of unstructured data. Rajesh has authored a number of white papers and has delivered multiple seminars in the BI/DWH space. The BI/DWH practice at Marlabs is one of the fastest growing divisions in the company. With over 200 professionals across the US and India, the BI/DWH practice accounts for almost a fifth of Marlabs' revenue. Rajesh holds dual engineering and science degrees from the Birla Institute of Technology and Science, Pilani, India and a certificate in management from the Indian Institute of Management, Calcutta, India.
