Cloud Enablement

PrecisionHawk

Cloud Enablement

PrecisionHawk is a commercial drone and data company, dedicated to empowering enterprises with actionable intelligence about their physical assets. PrecisionHawk applies artificial intelligence (AI) to its drone footage to create aerial data. PrecisionHawk serves the agriculture industry, and in fact its name comes from the name “wine hawk” because its first drones chased pest birds from vineyards.

Challenge

PrecisionHawk needed to improve its data architecture to further optimize its AI and client results. While PrecisionHawk has an industry-leading team of internal technologists, the specific challenge with its data structure required specialized skills.

Solution

Valence was engaged to analyze PrecisionHawk’s data architecture and make recommendations for improvement; and then to implement those recommendations.

After a discovery process, Valence  proposed an Amazon Web Services (AWS) Data Pipeline as a web service that would reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals.  We then moved on-premise ETL (extract, transform, and load) processes to an AWS Data Pipeline. The solution uses the AWS cloud for data processing and transformation in a data pipeline.

Results

The solution helped PrecisionHawk to easily create complex data processing workloads that are fault tolerant, repeatable, and highly available. It allows resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. Using the cloud, it also allows the client to move and process data that was previously locked up in on-premises data silos.

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The next step on your digital transformation starts with a conversation. Let us know how we can help you, and we’ll get back to you right away.

Internet of Things and Data Visualization

Wood Products & Building Materials Manufacturer

Internet of Things and Data Visualization

This Fortune 500 North American manufacturer and distributor of wood products and building materials enjoys recognition as on of the world’s most respected companies. The company is a leader in its industry, which includes businesses operating with processes that are sometimes more than 100 years old.

Challenge

This client was operating a door manufacturing facility that relied completely on manual processes and functions. While there are benefits to this hands-on approach, there was no way for management to know when machines were idle in the factory, or if the factory is achieving manufacturing goals.

When the project started, output was falling short of production goals by as much as 40%.

The client needed insight into machine operations so it could better manage and predict output and optimize facility performance to better achieve production goals.

Solution

Valence was engaged to design and develop a digital solution that would collect, organize, and visualize operations data for facility operators.

The solution was achieved by implementing IoT sensors on three manufacturing machines. We then used Microsoft Azure to pull data from the controller of a fourth machine.

Additionally, we designed and developed a web application with a Power BI Dashboard to pulled the data from Microsoft Azure. We conducted user interviews and research to validate the reports and visualizations that would be most meaningful to the facility management team.

Results

Gathering real-time data from these manufacturing machines allowed management to measure real-time product output. The visibility to production allowed increased output and higher revenue.

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Let’s Connect

The next step on your digital transformation starts with a conversation. Let us know how we can help you, and we’ll get back to you right away.

Data Visualization

Fortune 100 Vehicle Manufacturer

Data Visualization

Our client is a leader in the design and manufacture of light-, medium-, and heavy-duty vehicles and their parts. This is a sophisticated global leader with a complex ecosystem of products and customers. The business has vast sources of data, with data sources attributed to every aspect of its organization.

Challenge

Like many global, logistically complex businesses, this client was collecting tens of thousands of data points from trucks, with their parts driving across the country and around the world every hour of every day. They had a lot of data but struggled to make sense of it or to use it to advance the business.

The company needed to demonstrate market leadership and competitive differentiator, and there was a chance that data could help.

How smart is Artificial Intelligence?

The Solution

Valence was chosen to provide a reporting & analytics solution that would reveal actionable business insights. The solution includes big data visualization to help the sales team optimize product recommendations for each customer.

Valence started the effort by conducting a discovery period to document the data sources and also to understand the sales process and the sales team’s needs.

Informed by that discovery process, we then designed and developed  a Tableau dashboard that puts pertinent data at the fingertips of the sales team. The dashboard includes  informative graphs, charts, and maps showing everything from fuel economy by state per customer to the date and location of dash lamp errors. This level of customized specificity built trust with the prospective customers and demonstrated the high-quality experience that our client built their business upon.

The dashboard includes  an “Opportunity” section that estimates savings to customers if they switch to different configurations using actual data as the source for algorithms.

The client’s sales team has a one-of-a-kind, dynamic tool with real-world data to support customer interactions and sales efforts.

Results

The dashboard was universally adopted by the sales team and deployed in the prospecting process. Client satisfaction increased thanks to the quality of the recommendation engine, and relationships between sales team members and their clients were strengthened.