Analytics software
Mova Insights is an inventive software company that develops leading software and web applications for business analytics.
We empower businesses around the world to better understand their customers, marketing and sales.
Founded in 2010. Office in Richmond Hill, Ontario, Canada.
Mova Insights is 100% founder-owned and very profitable.
Make better decisions
Our applications use statistics and machine learning to identify important facts and patterns in the data. The apps help business owners and managers better understand their customers, marketing and sales to increase revenues, profits and growth.
We prioritize the features in our applications so the most useful and valuable functions are prominent and easy-to-use. And the common but rarely used functions are de-emphasized or removed. Simpler and faster for key users.
We balance the features, ease of use, and price to deliver the analytics software our customers want.
Our software products and services augment human skills and support making better decisions.
Our story
Mova insights was founded by Blair Kingsland in 2010. He has a master’s degree in mechanical engineering and an MBA. He has worked on data and software projects for over twenty years in aerospace, telecommunications and energy management. He wants all companies and people to make better use of data.
Our original goal was to develop user-friendly customer relationship management and sales management software. But the market was very crowded and difficult to make progress.
In 2012, we had an opportunity to develop some software for solar power monitoring, performance and maintenance. But the market became dominated by large equipment suppliers.
In 2014, we developed some microcontroller software for mobile robotics, specifically for sensor fusion, motion control, and localization and mapping. The prototype robot was a success, but we judged the market too complex and uncertain.
In 2016, our previous solar power work led us to energy management for commercial energy monitoring, controlling and reporting. The technical aspect of energy management was well established. But the business aspect was not well developed. Energy expenses, and other operating expenses, often depended on their customers’ activities and operations activities. This affected bottom line profits. But few applications produced or reported this complete picture. We were intrigued to try and use data to explain all the relationships to business people.
Since 2018 we have focused on business analytics. Specifically, the analysis of customer profiles, sales transactions, and revenues and expenses.
After a two-year slowdown due to Covid-19, we expanded our knowledge and expertise in using business data to describe customers, marketing and sales activities.
We have developed seven prototype applications to demonstrate how various data analytics methods can be used to add value to marketing and sales activities. See Home.
Poor Data
Many companies do not make good use of data to run their business. They lack useful data. The data is old, incomplete or inaccurate. The right people cannot access the right data at the right time. They do not process the data so it is useful or meaningful. The data is poorly managed.
This means many companies do not realize the full potential and value of all the possible data available to them. Their business suffers, performs below expectations, or loses to companies that do make better use of data.
Some things just happen that cannot be predicted or rationally explained. They happen by emotion, random, chance, or luck. For example, weather, stock market, Covid-19, or black swan Often they cannot be measured.
We love analytics
We love data and analysis. We like to explain how business works and why with data.
Many things can be measured and explained. There is an initial action (cause) that produces a outcome (effect). They can be measured and they are related (to some degree).
For example, on sunny days ice cream sales increase, even more if sent a coupon. The planned purchase of a larger quantity of ice-cream lowered the costs and increased the profit even more.
Many companies do not connect these dots for running their business. We try to help them connect the dots with data and make better decisions.
Great analytics
Over the years, we have analyzed many types of data. We now have built software and algorithms for streaming data, time-series, statistics, state space, machine learning, and graphical presentations.
The first step is to gather the relevant data. Usually from internal systems such as marketing, sales, websites and accounting. Then we augment this data with external data from public data sources such as U.S. Census, U.S. Bureau of Labor, World Bank, or other source.
We transform and load the data for analysis. This step can consume up to 80 percent of the time for the complete data management cycle.
Run the algorithms either continuously (periodically) or ad hoc (on-demand). The approach, parameters and output depend on the requirements of the users, such as staff, managers or executives.
We are continually learning new analytics methods and using them in our software products to bring the latest evidence-based insights to our customers.
Contact
Mova Insights Inc.
51 Beasley Dr.
Richmond Hill, ON
Canada L4C 7Y6
Email: info@movainsights.com
Phone: +1-905-770-6300