Move more freight with One Six Solutions helping transform your logistics company into a Modern Data Organization.
A Modern Data Organization for logistics companies streamlines standardizes and automates their internal and external data management process.
This allows teams to shift their focus from data management to growing and improving their business.
Modern Data Organization
To help our logistics clients accelerate their path to a data-driven organization, we built a customizable strategy custom-tailored to the logistics industry. Our team of strategy consultants works closely with your business and technology organization to define your modern data strategy and build an executable plan to achieve it.
This multifaceted initiative will focus on the following key areas:
Our team created the Data Roadmap process to help logistics firms map their path from their current state to their desired future state. This process prioritizes projects with high ROI and low risk.
Our strategists will collaborate with your team to determine the most impactful projects in the short and long term. They will create a list of prioritized projects using an opportunity matrix, which will show which projects deserve investment and the best order to tackle them.
Logistics companies deal with massive amounts of transactional data from multiple systems including internal Order Management Systems (OMS), Warehouse Management Systems (WMS), Yard Management Systems (YMS), Transportation Management Systems (TMS), HR, CRM, and finance, as well as needing to integrate with external partners, vendors, and customer systems.
To remain competitive, and move freight effectively and efficiently, it is critical for logistics companies to integrate all of their systems and data sources to ensure that Core Business KPIs are defined, measured, and reported equally to all users.
One Six Solutions has extensive experience helping logistics companies design, build, and implement Modern Data Platforms and Tools that consider all aspects of the client’s business goals to deliver robust end-to-end systems that prioritize security, scalability, and ease of use, with proven industry best practices.
Logistics Modern Data Architecture
Imagine the possibilities for your organization with all of your data sources connected to a central data warehouse or data lake. Data is cleansed, transformed, and analytics-ready, at scale and in real-time.
Our consulting services can help address any data-related challenge, whether you need to set up a centralized repository that integrates with other platforms or you want to optimize your existing system to better support analytics initiatives. Our experienced team of data management professionals has seen and done it all.
Logistics Provider Improves Decision-Making with a New Modern Data Architecture
Featured Case Study – Data Warehouse
One Six Solutions recently helped a third-party logistics company implement a Data Warehouse solution that utilizes a modern cloud data architecture to reduce maintenance overhead as well as allow the client to scale in size as their data needs continue to grow.
A third-party logistics provider focused on helping businesses handle their e-commerce order fulfillment and retail distribution has fulfillment centers strategically located across the nation to reduce order transit time.
The client has multiple warehouse management systems (WMS) for inventory management and for monitoring warehouse activities such as receiving, putaway, picking, packing, and shipping.
Multiple Warehouse Management systems from different vendors resulted in data silos and data inconsistencies creating delays in enterprise-wide reporting.
They needed a solution that would consolidate their data, reduce maintenance overhead, and allow them to scale in size as their data needs continued to grow.
One Six implemented a solution that utilizes modern cloud data architecture to reduce maintenance overhead as well as allow the client to scale in size as their data needs continued to grow.
The solution consisted of replicating all the data from various operational systems into a Data Lake.
A Data Warehouse was designed to consolidate all data into a centralized location designed for easier access, analysis, and reporting.
One Six Solutions took advantage of many powerful cloud data platforms to create the appropriate best-of-breed solution for their client:
Snowflake’s data platform was leveraged to create a highly secure, scalable Data Lake and Data Warehouse environment
Fivetran provided resilient data pipelines sourcing data from multiple WMS systems and loading data into the Data Lake, saving time and money on data engineering development
Matillion was the transformation and orchestration engine for building the enterprise data model in the Data Warehouse
Tableau provided executive dashboards and customer-facing reporting across the firm driving actionable insights and trends
With this single source of truth (the cloud Data Warehouse), the organization was able to generate comprehensive reporting on KPIs that allowed the business to look at these numbers with confidence to support strategic decision-making.
The operations team utilized these reports generated from the Data Warehouse for inventory planning to reduce the risk of stockouts and identify demand patterns. The facility managers utilized the reports to identify inefficiencies in warehouse activities to improve the order fulfillment turnaround time.
Need help with your enterprise application development, data management, or data analytics project? Fill out the form and schedule a time, at your convenience, to discuss your business and project needs with our team, and set up a free virtual or in-person whiteboarding session.
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