Big Data Analysis


Big Data Analysis

Big data analytics is the process of examining large volumes of data to uncover hidden patterns, identify correlations and other useful information that can be used to make better decisions in business.

Why Big Data Analytics?

The differentiator of big data analytics is the volume of data it can analyse; of which conventional analytics and business intelligence solutions cannot handle or analyse in real-time.

  • Comparing unrelated data sets and assuming relationships or similarities.
  • Poor data hygiene: Analysing incomplete data sets and making decisions based on the analysis of that data.
  • Narrow focus: Analysing data sets without considering other data points that might be crucial for the analysis. An example of this within current CRM systems would be analysing email click-through rates but ignoring the unsubscription rate.
  • Unrelated data grouping: many organisations group data points together and treating them as one. For example, looking at visits to your website and treating unique visits and total visits as one, leading to a false understating of your true conversion rate.

To help you overcome these challenges, while also getting the biggest bang from Big Data Analysis, Cogit offers big data solutions and services using technologies such as Cloudera.

Cloudera develops business value from both structured and unstructured data.

As the top contributor to the Apache open source community and with tens of thousands of nodes under management across all verticals Cloudera’s products, depth of experience and commitment to sharing expertise is forefront.

Cogit completes Hadoop data integration and business analytics platform enables IT and business users to easily analyse Hadoop data through:

  • Rich visualisation: through interactive web-based interfaces allowing for ad hoc reporting and dashboards.
  • Flexible exploration: provides views of data across specified dimensions such as time, product, and geography, and across various measures such as revenue and quantity.
  • Predictive analytics: using advanced statistical algorithms such as classification, regression, clustering and association rules, our big data platform releases powerful predictive analytics capabilities.

If you need more information on our Big Data Solutions or would like to arrange a consultation, please feel free to email or call us on +48 22 496 60 00.