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Transform data
into value

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Data Science vs. Analytics...
How do they differ?

While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. Meanwhile, data science takes the output of analytics to solve problems.

Both allow us to obtain valuable information from data sources. This in turn, empowers organizations with insights to make quicker and informed decisions.

Unleash the benefits

 
  • Extract business-focused insights from data

  • Identify key data assets, transform them into data pipelines that feed tools and solutions

  • Identify new business opportunities

  • Prevent critical failures and disruptions across business operations and systems

  • Enable planning through reduced uncertainty and better quantified risk

The applications of big data and analytics are near-endless with many benefits for businesses.

What can Data Science &
Analytics be used for?

 
  • Anomaly detection (fraud, etc.)

  • Automation and decision-making (background checks, credit worthiness, etc.)

  • Classifications (categories and filters, etc.)

  • Forecasting (sales, revenue and customer retention)

  • Pattern detection (financial market patterns, etc.)

  • Recognition (facial, voice, text, etc.)

  • Recommendations (based on learned preferences)



Three Phase Approach

Understand the business, identify a use case and define the goal

Obtain the data, clean the data, extract data components and data sets

Build Visualizations, get predictive with algorithms and iterate

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In the quest to achieve market leadership, financial services industry (FSI) firms continue to focus on becoming holistically digital, customer-facing enterprises. Because Digital Transformation, rather than solving the technology issue, seeks to answer how technologies will allow FSI firms to go from managing products and services, to creating new and better customer experiences for their clients. Use this resource to learn why and how financial institutions must prepare for a world where customers seek competitive digital solutions- and how you can get your organization onboard to a Digital Transformation route.

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