Business analytical models develop overtime and hence need dedicated effort in the initial months. Also, the volume and complexity of data require a stack of advanced technologies, including high-performance data stores, reliable and fast data processing pipelines, powerful analytical models, flexible integration layers and interactive visualization systems. The newly formed analytics team may not be able to cope with these challenges of the initial stages. Rainmaker BA can depute skilled personnel to help Clients manage this startup and transition period.
The cost of setting up an analytics program can be discouraging and return on investments are often not immediate. A poorly executed analytics program would result in executives losing trust in the solution and refusing to believe the models, eventually abandoning the concept. Rainmaker BA can second people to manage the analytics department of the client. Having knowledgeable and experienced personnel seconded by Rainmaker BA can help to establish a productive analytics environment and set realistic timelines for results.
At the data layer, companies typically use combinations of Data Warehouses, Data Marts, Document Stores, and distributed file systems. Some corporations already use Data Lakes to store large volumes of data and content in their original format — further empowering data-science teams to perform ad-hoc analytical and machine learning projects. Data integration components like ETL, ELT and similar, are also critical here to ensure a seamless, reliable flow of high-quality data and content.Having personnel seconded by Rainmaker BA will enable companies to manage this data layer during the initial stages of the analytics program.
