REAL TIME ANALYTICS

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REAL TIME ANALYTICS 2018-02-14T05:34:23+00:00

Challenges

  1. Data quality – Real time analytics means insights based on current data; quality of data is critical. Any discrepancy in data could mean an immediate ripple effect cascading across departments and impacting the whole business

  2. Data not information rich – The objectives of data analysis should be clear, which would drive a data collection strategy as well as help in crystallizing information from the data which would enable the analysis

  3. Real-time event transfer is complex – Data events need to be transferred in real-time to where they can be processed. Event filtering and aggregation should be done to reduce network traffic and processing time, while not hampering the accuracy and optimality of the decision making in the real-time application

  4. Automated v/s human decision making – The output can be interpreted, either manually or in automated manner. Manual decision making can lead to delays which defeats the entire purpose of real time analytics while using AI for decision-making would need perfect precision in the algorithms that interpret the outputs

Real Time Analytics
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Real Time Analytics Services

Real Time Data Analytics

Consulting

Scope identification, feasibility assessment, technology recommendation

Real Time Analytics Company

Architecture Assessment & Advisory

Evaluating architecture and recommending optimal design

Real Time Analytics Services

Data Integration & Processing

Integration, transformation and load of high velocity data from numerous sources

Real Time Analytics

Performance Tuning

System monitoring, maintenance and enhancement

Real Time Data Analytics

Big Data Analytics

Extraction and processing of Big Data in real-time

Real Time Analytics Company

Training

Training of technical teams on real time analytics tools and technologies

Expertise across Technology Stacks

GrayMatter has proven expertise of working on real-time and near real-time analytics engagements. We have worked across a range of technology stacks depicted below

Apache Storm
Apache Kafka
Druid
Flume
MEM SQL
SAP HANA
Apache Drill
TIBCO Stream Base
Talend
Spotfire TIBCO Software
Mahout
Flink