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Innovation

Innovation as a Habit

Innovation—the need for it, the solutions that it enables—it all sounds so lofty and far away from day-to-day business problems. Is it all verbal hot air, or does it really mean anything to people who run real businesses?

To those looking for new solutions to familiar business problems, innovation can mean a lot.

So, if you’re saying, “Innovation. That’s nice, if I can get it”, we hear you. That’s because at Syntelli, we’ve made innovation a habit.

Our Solutions Cut through Data Glut and Reveal Business Trends Worth Knowing

Our capabilities go beyond skillful programmers, knowledgeable data scientists and experienced project managers.

The key is understanding which tools, technical skills and innovative approaches will best help us solve your specific business problem.

Key Areas of Innovation

Data Science

In business, data science innovation is very down to earth. Its objective: to create and maintain a data-driven business culture.

That means staying up-to-date with the latest data architecture, engineering and analytics. Advanced statistical analysis, complex data integrations and natural language generation are just some of the capabilities we put to work in our solutions and consulting services.
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Big Data

We’re all too familiar with the term Big Data. Unfortunately, many organizations are still looking for solutions to their Big Data business problems. Our solutions include tools that deliver high-volume, high-speed data processing power.

Transaction data volumes that we never imagined—hundreds of terabytes—are now surprisingly common. Also common are analysis times reduced from 4 hours to 60 seconds.
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Analytics Application Development

None of this data processing power is possible without our talented programmers. They’re the folks who make sure that the customized applications, integrations and APIs we use to extend BI platform functionality are carefully chosen and tailored to your unique IT and business requirements.

Still skeptical? We understand. The only way to find out how we do innovation is to see some real-life examples.

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Marketing Mix Modeling

  • Using the interaction between various channels and the time delay between impact of messaging we can determine which marketing channel or channels have the greatest impact on consumer behavior:

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

360 Customer Analysis

  • Combining all aspects of customer attributes and buying behavior, customer 360 analysis give a holistic view of what motivates your customers to purchase and their typically buying patterns

Spotfire Gauges

  • Sometimes you want a complex visualization packed with information density, and sometimes you want to read data quickly and easily. Using d3.js libraries we implemented gauges inside Spotfire visualizations to create a true “dashboard” for lighting fast insights.

Analytics Benefit Calculator

  • Tool developed by our data scientists to help your decision process easier. Calculate the estimated net present value from your BI investment.

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

Marketing Mix Modeling

  • Using the interaction between various channels and the time delay between impact of messaging we can determine which marketing channel or channels have the greatest impact on consumer behavior:

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

Marketing Mix Modeling

  • Using the interaction between various channels and the time delay between impact of messaging we can determine which marketing channel or channels have the greatest impact on consumer behavior:

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

Customer Segmentation

  • Using demographic, psycographic, and behavior data, we use customer segmentation models to enhance messaging for customers.
  • Segmentation allows for more personalized messaging directed at customers, but with a lower number of unique types of creative copy needing to be developed.

Ready to go from data to insights in weeks? Let’s talk.

Synchronizing intelligence with data & AI.

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