CONSOLIDATION

Unification of data from multiple different sources.

Consolidation in data analytics typically refers to consolidation of data sources. At SmartCirqls, we use leading big data analytics platforms like Splunk, which achieve data consolidation by design, during initial setup itself. Once organisations begin to consolidate data, deriving insights starts becoming easier.

CONSOLIDATE

 

 

Our reference here, is also to Consolidation of Insights. Let’s look at a typical org structure – disparate teams, verticals, business units – each trying to dig into data sets that are relevant to them. Not knowing, or caring, about the intelligence to be garnered from each other.

However, if we can look at successfully consolidating and centralizing their data and their problem sets, we can now look at consolidating the relevant results. Consolidating results gives rise to insight. Consolidating insights leads to intelligence.

A centre of intelligence.

This centre of intelligence, in an organisation, will eventually lead to consolidating processes, minds, people, teams, verticals, business units.Where traditional technology such as RDBMS databases do not have the scalability to unite multiple sources of data, Splunk breaks down the silos which are responsible for isolating data sources.

Data from Any Source, Size and Format

 

Splunk_ArchitectureSplunk fundamentally is a data platform that can ingest data from any source as long as its in ASCII text. This opens a plethora of correlation opportunities in data unification. Once you have brought everything on to a single pane, scaling Splunk across systems becomes easy and quick. With Splunk, you won’t have to ever code a new application to visualise new sets of data.  Splunk’s powerful visualisation engine, provides the means to make data useful and actionable.

This, in a nutshell, addresses and resolves the root cause of fragmentation at most organisations.