We develop and sustain pre-built dashboard solutions for various industries and functions. As a recognized leader in information management innovations, we offer solutions that are grounded in our deep functional and industry experience and built with a focus on business functionality. They are designed to lower implementation risks and decrease time-to-value. Our solutions apply newer advanced technologies to the changing needs of the market.

We seasoned developers can stitch data from 100+ sources into a data warehouse so you can get to answers faster, and on-demand.

Our Whole Child Solution brings principals, teachers, counselors and central office administrators an enriched experience with students. All educators can gain a holistic understanding of each student, their individual needs through vantage points, and enable them to engage with students in a manner that best works for their growth and achievement.

Our experts will implement your vision through a scalable framework to empower schools, districts and education agencies by providing insights that go beyond the data.

What is Lake House?

A Lake House is a data platform to enable BI, Data Science and ML on the Data Lake.

Data wrangling is the process of cleaning, structuring and enriching raw data into a desired format for better decision making in less time. Data wrangling is increasingly ubiquitous at today’s top firms. Data has become more diverse and unstructured, demanding increased time spent culling, cleaning, and organizing data ahead of broader analysis. At the same time, with data informing just about every business decision, business users have less time to wait on technical resources for prepared data.

This necessitates a self-service model, and a move away from IT-led data preparation, to a more democratized model of self-service data preparation or data wrangling. This self-service model with data wrangling tools allows analysts to tackle more complex data more quickly, produce more accurate results, and make better decisions. Because of this ability, more businesses have started using data wrangling tools to prepare before analysis. Hexalytics’ experts help to create radical productivity for people who analyze data. We’re deeply focused on solving for the biggest bottleneck in the data lifecycle, data wrangling, by making it more intuitive and efficient for anyone who works with data.

We offer a solution kit that will enable you to take complete control of your airport’s operational information. Airport Analytics is designed to support airport professionals to view their business-critical data using an easy to use, collaborative, cloud-based platform. The Airport Analytics suite enables the integration and analysis of zillion internal and external data sources to gain a broader perspective of the relationship between the different airport operational functions.

The nation’s growth and the need to meet mobility, environmental, and energy objectives place demands on public transit systems. Current transit systems are old and in need of upgrading, must expand service area, increase service frequency, and improve efficiency to serve these demands. Our Transit solution is necessary to solve these problems, to help adapting appropriate new technologies from other industries, and to introduce innovations into the transit industry. We develop and improve performance-measurement systems for transit agencies and incorporating transit performance measures into regional decision-making processes for transit managers and executives.

Why we need to measure transit performance:

Performance measures are used by transit agencies for three main reasons:

1. Because they are required to do so;
2. Because it is useful to the agency to do so;
3. Because others outside the agency need to know what is going on.

1. Performance measurement for reporting purposes. Reporting and regulatory requirements will dictate a certain number of performance measures that will have to be reported. The measures that agencies are required to collect and report to the National Transit Database (1) are an example.
    
2. Performance measurement for self-improvement. Agencies collect other measures to help identify how well service is being provided to their customers, the areas where improvement may be needed, and the effects of actions previously taken to improve performance. In these cases, agencies use performance measures to help provide service as efficiently as possible, monitor whether agency and community goals are being met, and—over time—improve service so that it attracts new riders. Changes in policy, procedures, and planning can result from an understanding and appraisal of certain measures. Performance measurement for communicating results.
    
3. Finally, decision-making bodies, such as transit boards and funding bodies, need to have access to accurate information to help them make decisions on where and when service should be provided and to support actions designed to improve performance. The public is also interested in knowing how well service is being provided and may need convincing that transit provides a valuable service, for them, for someone they know, or for the community as a whole. Performance measurement data provide transit agency management with objective assessments of current circumstances, past trends, existing concerns, and unmet needs. Key management uses of a performance measurement system include:
     
   1. Service monitoring
   2. Evaluation of economic performance
   3. Management functions
   4. Internal communications
   5. Development of service design standards
   6. Communication of achievements and challenges
   7. Noting of community benefits

Our Transit Analytics solutions are helping to answer key business questions at every level, allowing data driven decisions, supplemented by data driven machine learning and artificial intelligence. The following is an performance measure examples: