The keys to a high-performance
analytics architecture
The performance of a BI architecture goes beyond purely
technical capabilities such as storage volumes and computing power.
Several other areas must be considered, including organization,
hosting, software solution, functional coverage, technical integration,
budget, data security, and solution lifetime.
Control costs
Reduce fixed costs and the integration budget with a cloud-based BI architecture
Have capacity to upscale
Expand the functional scope of BI and increase data volumes with use-based pricing
Focus on your core business
Focus on applying analytics to your activities and place technical support in the hands of a specialist
Cloud analytics architecture: deciphering publishers’ offerings
MicroStrategy, Microsoft, Oracle, Snowflake, AWS… all publishers of decision-support or big data solutions propose a cloud-based decision architecture. Their pricing models are based on multiple parameters (licenses, volumes, CPU times, network traffic, etc.) which make costs difficult to anticipate.
Support from a specialist who is well-versed in all these solutions is vital in order to decipher the offerings and anticipate the potential pitfalls. He or she will confirm, for instance, that the data centers holding the data are in locations guaranteeing the expected security and privacy levels, and optimize the decision architecture in line with the client’s needs, combining structured (BI) data and non-structured (big) data on a single platform.
INNOBYTE Consulting:
Our expertise to drive your performance
Finance & Performance
Improve data quality and granularity to manage performance effectively
