SOLUTIONS

DataCity Analytics is your trusted partner in data solutions. We help our customers understand and enhance data collection and analysis. Our custom solutions working with data help position customers for success in the marketplace, providing unparalleled insight into existing operations as well as the tools and planning required to support constant evolution and continued analysis of your data.

The volume of data that's now collected from normal operations is nearly unimaginable. As this data resource continues to grow, managing and understanding it becomes an even bigger challenge. The DataCity Analytics methodology positions us to quickly and productively create data analytics that work for you.

We get to know your environment, your data sources and your business goals. Then we create a custom plan that will help you make better use of the raw information that your business generates constantly. A deep dive into the data that you already have can provide substantial support for new revenue opportunities and more effective decision-making.

As part of all of our customized data solutions, we will:

  • Define strategic development that will allow the best use of a successful data platform.
  • Create the analytics that will use your data to the fullest and drive new ventures and innovation.
  • Recommend and deploy only the technology that supports and complements your specific business needs.
  • Improve your ability to dynamically analyze large amounts of structured and unstructured data.
  • Offer the maximum visibility into your organization's data analytics with a customized dashboard view of all key metrics.
  • Help you understand what your data is showing and how it can be used to support change across your organization.
  • Support your ability to leverage your data for trends analysis.
  • Help you fully integrate your data analytics with the existing IT systems and operations.
  • Provide a framework to gather additional data from new sources and analyze with advanced methodology.

DataCity Analytics solutions will help you break down data silos and provide a new look at the data generated by all of your technical operations.

Elements of Data Science

The following are the building blocks and basic tools of data science applications:

  • Statistics: The collection and analysis of data in large quantities.
  • Visualization: Tools and presentation methodologies that make the data understandable.
  • Machine Learning: Computer systems that find and record patterns in the data.
  • Artificial Intelligence: The automation of repeatable tasks at large scale to create and process larger data sets.

Here are a few of the applications and operations that DataCity Analytics team members have deployed for medium-to-large scale organizations:

  • Search: Algorithms created to assist with useful search results across multiple databases.
  • Image recognition: Quickly process and scan images to detect specific objects or changes.
  • Speech recognition: Process human speech in real time and respond with context-relevant answers on the fly.
  • Recommendation systems: Analyze customer activity and find complementary or alternative recommendations.
  • Assisted internet search: Interact with a wide range of APIs to provide better search results on specific narrow topics.
  • Predictive analytics: Find patterns in existing data and use them to predict future changes in conditions.
  • Enhanced Business Intelligence via Simulation: Learn how your current operations would be affected by certain decisions.
  • Logistics and routing: Find better, faster ways to efficiently move products, raw materials and delivery vehicles by tracking in real time.

Results That Enhance Operations

Here are some brief case studies that show the results of DataCity Analytics's work in data science.

IT Systems in France

Some of the technology supporting financial services applications at large firms is ancient and out of date, but still required to process certain transactions. We created an underlying monitoring and reporting system that enhanced the utility of these old mainframe applications. This system offered better access and understanding to the performance of these old mainframe-based applications. This understanding allowed the IT department to tune its servers and connectivity to support the needs of these specific applications.

Logistics Monitoring in Shipping

Taking a new approach to everything from choosing raw materials suppliers to packing trucks, we modernized, streamlined and enhanced the operations of a shipping company to bring new insight, enhanced planning and a full understanding of efficiency to a 50-year old company. Eliminating wasteful or costly activities saved 11% in costs for the first year alone. Pilot programs of enhanced technology have shown the potential for even greater savings.

Predictive Maintenance in Communications

A communications company is now able to predict the failure time of specific devices or networks before they occur and can provide preventive maintenance when it is specifically needed rather than on a set schedule. By understanding the actual usage of equipment (not just up-time) they were able to determine what parts and components needed specific maintenance at a specific time. This enhanced the overall performance and freed up maintenance technicians for priority work.