Is Your Data Out Of Control?
Aptude’s Proven Data Science Program Gives Trucking Companies Data They Can Trust
Trucking and logistics companies are drowning in a sea of historical data. This data is coming from the ERP, the TMS, marketing activities, customer data, internal work, accounting, and more data spanning sometimes decades.
Even worse, all of it is likely in different states of accuracy and relevancy and stored in databases that may not talk to each other… if the data is even stored in a database at all!
As a result, trucking companies are limited in their ability to build cutting-edge, future-proof decision-making systems like dynamic pricing, routing, and quoting clients based on real-time data.
The data chaos is a big problem, but it’s not the only one causing data mayhem for trucking companies.
Twelve Common Data Problems Faced by Trucking Companies
Siloed Data
Data held by one group or business unit that isn’t shared by others
Poor Data Quality
Issues with data completeness or accuracy
Data Deluge
Too much data, especially unstructured data, resulting in data pools and data lakes
Data Duplication
Excessive copies of data that decreases storage capacity
Lack of Data Expertise
Having a team which can’t implement data engineering, predictive analytics, machine learning, or big data solutions
Improper Data Linking
Lack of an ability to connect different data sets together to perform semantic queries OR data is improperly linked and thus less valid for decision-making
Data Entry Errors
Errors that are caused at the point of entry; can be transcription or transposition errors
Lack of Data Transparency
An inability to easily access and work with data no matter their location or application source
Cross-Team Misalignment
When your teams have different procedures, goals, and standards about data
Lack of Data Consistency
Lack of consistency in measurement of variables throughout the datasets
Lack of Visualization
Inability to tell data-driven stories or glean fast insights from data
Privacy Concerns
When data stored isn’t secure or compliant with privacy laws and regulations
Aptude’s 20+ Years of Experience Gives Trucking Companies RELIEF from Data Obstacles that Limit Digital Transformation
Aptude is a leading provider of data science services to trucking and logistics companies, in no small part because of our growing Python Center of Excellence in Mexico City. Our robust data practice includes over 19 different data solutions and skillsets to help you get control of your data and begin making data-driven decisions faster than ever before.
Data Engineering
Our Data Practice which focuses on preparing data so it can be used in data analytics, data visualization, or data science
Data Architecture
Experienced Guidance in how data is collected, arranged, integrated, and put to use in data systems and in organizations
ETL Processes
Extract, transform, load data from one database to another (usually, a data warehouse)
Data Visualization
Charts, graphs, maps, and dashboards that provide an accessible way to see and understand trends, outliers, and patterns in data
Machine Learning
Computer algorithms that improve automatically through “learning”
Big Data
Large volumes of data, both structured and unstructured
Artificial Intelligence
Algorithms designed to make decisions, often using real-time data
Predictive Analytics
Analyze current and historical facts to make predictions about future or otherwise unknown events
Deep Learning
A facet of machine learning based on artificial neural networks with representation learning
Natural Language Processing
A mix of linguistics, computer science, and artificial intelligence concerned with how to program computers to process and analyze large amounts of natural language data
Data Warehousing
Central repositories of integrated data from one or more disparate sources
Data Pipelines
Consolidate data from multiple sources and make it available for analysis and visualization
Database Management
Store, retrieve, define, and manage data in a database
Technical Project Management
Expert Program, Portfolio, and Project Leadership of your data projects
PowerBI
Microsoft data visualization and dashboarding tool
Tableau
Industry-leading data visualization tool
Smartsheet
Technical project management using Smartsheet
Excel
Powerful Microsoft spreadsheet tool
Hadoop
A robust Big Data programming framework
Python
Our preferred Programming Language for Data Science Projects
Structured Query Language
Programming language to manipulate data in your databases
What’s Possible When You Mix the Right Components to Solve Core Data Problems?
What if you could…
- Create new data reports and visualizations on demand to answer key business questions?
- Use your historical data to make dynamic, real-time decisions using AI and ML – like dynamic pricing, routing, and quoting
- Use machine learning to discover business opportunities before your competitors do?
- Integrate your ERP and TMS… and then future-proof those integrations so you can be prepared for the needs of TOMORROW, not just today
It’s possible when you have your data under control.
Even if you just want to move from a data lake to a data warehouse, that activity will enable your business to do so much more with the data. Once you have a data warehouse, you can tack on visualizations with a tool like Excel, Tableau, or PowerBI. Once you have structured data pipelines, you can begin slicing data in new ways as needed. Once you know your data is relevant, correct, and secure, you can trust it to make data-driven decisions that will impact the success of your corporation.
Whatever form of digital transformation your company needs, there’s a good chance that it will require some data work.
The Brands You Trust Move Forward with Aptude
Don’t Tackle Your Deluge of Data on Your Own. Aptude Can Help.
While you can go it alone, with Aptude leading your next data project, you’ll …
• Avoid mistakes. We’ll help you avoid falling into common, easily-avoidable missteps that an expert team will have seen (and solved) before
• Solve the right problem. Get an expert outside eye on your situation, root causes of data problems, and potential solutions
• Explore a range of data-driven solutions. Rather than the solution you think you’ll need; we’ll quote you what we know you’ll need to keep moving forward based on our years of proven domain experience
• Get dynamic resourcing. Get expert onshore help for the “build phase”, and more affordable offshore or nearshore help for the “run phase”. Or whatever mix fits your needs.
• See cost savings. Our AptudeFlex model lets you get more done than you would have hiring full-time data staff who can each only do a limited set of work. We also stand by our timelines thanks to our ultra-robust requirements gathering based on deep transportation domain and technology expertise.
• Get Leadership from Day 1. Our team members (especially our team leads) each have years of domain experience. Which means we’re not just doers – we’re leaders.
Ready to get more clarity and certainty on the path forward? Fill out the form or book a call using the options below.
We’ll follow up with a mutual NDA, and then begin the conversation about your requirements, goals, and needs. Finally, we’ll work together to design an expert staffing or consultative solution that fits your needs and your budget.
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