Components of a modern analytics ecosystem

Overview

After understanding what Data Analytics is and what it’s uses are, the next step is to understand what forms a modern analytics ecosystem.

Analytics requires a combination of several software tools to work together.  You need a tool to cleanse and manage the data, another to run statistics and a different one for creating charts and graphs. It’s a zoo, but we have it covered for you. Fundamentally, it consists of 4 main components

Cloud Services

Cloud services is one of the most integral blocks of having a functional analytics ecosystem. This enables users to access their data wherever they are. Without this, users would have to have their information stored in a local server. This poses multiple issues such as the inability to rapidly scale as per requirement (up & down), cost (on premise servers are expensive and take a lot of space which add to further overheads), reliability as the entire process then depends on the local machines processing power and abilities and accessibility to data.

Technology Stack

At its most basic level, an analytics stack is the link between raw data and business intelligence. An analytics stack is an integrated system of applications that collect, combine, analyze, and realize the value of data. Data-driven businesses place as much importance on having a dependable analytics infrastructure as they do on having the data itself—and they continuously refine their infrastructure to support their analytics efforts and advance their competitive edge.

Self Service Platform

This is an orchestration layer over the technology stack. This allows users to try and use various tools and features from the stack without navigating between different tools. This enables the business user to become more independent and make quicker decisions. This also helps reduce the dependency and bottlenecks from IT departments.

Systems Integrators

You also need Systems Integrators who can implement all of these softwares in your environment, configure them, build data models, migrate data and get the environment ready so that you can get to the insights.

And finally, you will need help in figuring all these out and in moving into this new environment. When you have so many different tools, you don’t have to move from one tool to another for each task. Tesser has created an orchestration layer on top of these tools that makes all these capabilities available in one place. Basically, you need movers and packers, who can also unpack it all and make your new place ready for use. That’s where we can help you out by having the ONLY one stop solution for your analytical needs.