Ophel Data Insights Technologies
Gain insights and improve your campaigns

Ready to gain and implement insights?
  • We will help you identify your prime customers
  • We will show you their location, if they a homeowner but also their education level etc
So, insights will help you fine tune your marketing efforts and will give you the tools to:
  • Improve your strategy
  • Streamline your budgets, by choosing the right channels
Most importantly the quality of our insights comes first and with our millions of deterministic profiles you can be sure that you will reach out to your audience in the most effective way.

Data Science

Torture the data, and it will confess to anything.

  • What is Data Science?

    scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured similar to data mining.

  • How your organization will be benfited by Data Science?

    Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems.

  • Data Science Phases

    Discovery, Data Preparation, Model planning, model Building, operationalize, communicate results.

  • When it will be useful?

    Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics.

Traditional Approach
DATA science
1. Traditional business applications have always been very complicated and expensive. 1. Data Science removes duplicate informations from data sets and hence saves large amount of memory space. This decreases cost to the company.
2. The amount and variety of hardware and software required to run them are daunting. 2. Data Science it is suitable for enormous amount of data. it is used to reduce duplicate data and helps in optimization.
3. You need a whole team of experts to install, configure, test, run, secure, and update them. 3. Men power will be reduced and it is cost effective.
4. When you multiply this effort across dozens or hundreds of apps, it’s easy to see why the biggest companies with the best IT departments aren’t getting the apps they need. 4. Data Science is Easy to use, configure and install.
5. Small and midsize businesses don’t stand a chance. 5. Data Science operations include data extraction, data profiling, data cleansing and data deduping .


Data Science Platforms

  • Microsoft Azure
  • IBM Data Science
  • Cloudera Data Science Workbench
  • Data Science Tools

  • R x 30
  • SQL x 27
  • Python x 22
  • Hadoop x 19
  • SAS x 18
  • sectors which are benefited by Data Science

  • Financial Banking
  • Manufacturing(CRM, Research Analysis)
  • Healthcare
  • Educational institution

  • ophel computing Believes Outsiders often have an insight that an insider doesn't quite have.

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