Intelegencia is in accord with the latest tools and technology and helps you improve business outcomes through data-driven decisions.

Big Data Analytics

Data has emerged as an indispensable cog as far as businesses are concerned, always being the first thing they bank on while prospecting and taking decisions. Desirable business outcomes have become possible only through calculated use of data. Data mismanagement, more often than not, leads to failure. Over the years, this dependency on data has compelled organizations to look for data mining for business intelligence as an option, something they have felt is necessary to decide better. This need felt by organizations for quality big data management solutions is well catered to by Intelegencia, one of the leading business intelligence firms.

Intelegencia is well-known in the field of big data analytics, a complex process that entails the study of huge and complicated data sets. The study is undertaken to simplify camouflaged patterns, inexplicable correlations and developing market trends to understand customer behaviour and preferences and factors influencing their purchase decisions. Intelegencia ranks among the top business intelligence firms delivering quality big data management solutions, data mining for business intelligence being its forte.

Like its process engineering services, Intelegencia has received high praise for its work on advanced analytics, predictive models and statistical algorithms and thus emerged as one of the top business intelligence firms. Our team of data engineers, data analysts and data scientists know their way with all the latest high-performance analytics systems used for data mining for business intelligence. They combine their experience of working on such tools with their insights developed over time to give you the best possible big data management solutions, helpful in taking decisions that will positively influence your business.

What are Intelegencia's Data Analytics offerings?

  • Data Engineering
  • Data Quality
  • Data Reporting/Visualization
  • Data Science

What kind of companies benefit from these services?

From Data Engineering:

  • Companies having to deal with a large number of databases to deliver superior data. 
  • Businesses working on multiple technologies such as MySQL, NoSQL, Cloudera, Cassandra, MongoDB, Redshift, Snowflake, Hbase, Redis, Elasticsearch, PostgreSQL, Hadoop, MapReduce, Hive, Pig, Spark, Spark Streaming, Java, Python, Scala, Perl, etc. on a regular basis.

From Data Quality:

  • Firms looking for useful tools and processes that help improve quality of big data
  • Businesses in need of accurate, complete and secure data

From Data Reporting/Visualization:

  • Companies desiring to visualize their operational data
  • Firms trying to become more competitive with internal data
  • Data teams trying to put together data in a format which is easily understandable for their end user
  • Companies struggling with data visualization techniques
  • Businesses trying to make sense of consumable infographics that can be acted upon immediately

From Data Science:

  • Companies in need of demand planning, customer analytics and predictive maintenance and reasonable pricing
  • Businesses trying hard to get valuable insights through predictive data analysis, sentiment analysis, text analytics etc.
  • Firms uncertain of rapid analytic insights, analytic capability assessment and analytic optimization and management and trying to identify a vendor who can guide them with these.
Big data analytics

In partnership with

  • MicroSoft
  • SalesForce
  • Cherwell
  • Amazon
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