Wavicle Data Solutions

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Overview

$75,000+

Min Project Size

250 - 999

Employees

2014

Year Founded

ABOUT WAVICLE DATA SOLUTIONS

Expert Data Solutions and Analytics Consulting

Wavicle offers acclaimed consulting services in data and analytics that minimize project time, costs, and risks, while enhancing the quality of data and insights for clients. Our data management experts assist you in utilizing cloud-native technologies to efficiently capture, analyze, and share increasing amounts of data, supporting advanced analytics, machine learning, and AI applications. Collaborating with leading vendors like AWS, Snowflake, Databricks, and Talend, we formulate data strategies and architectures that enable enterprises to become data-driven. We have created a collection of proprietary tools and frameworks that significantly cut down the time, cost, and risks associated with data conversion to new databases, transitioning from legacy ETL solutions to cloud, expediting data ingestion into cloud data lakes and warehouses, automating testing to ensure data integrity, and meeting customer privacy requirements. For instance, one client experienced an 80% decrease in the effort needed to shift from DataStage to Talend Cloud. Discover more about this and other client achievements on our website at https://wavicledata.com/case-studies. Our offerings encompass data lakes and warehousing, data engineering, cloud migration, and data science, alongside analytics solutions like design thinking/UX, portals, data visualization, and self-service analytics. Wavicle has been recognized as an Inc. 500 company on the 2019 and 2020 lists of the fastest growing companies in the U.S., named a Chicago Crain's Fast 50 Growing Business in 2021 and 2020, and honored as a Top Workplace by the Chicago Tribune in 2020. For further details, please visit our website at https://www.wavicledata.com/.

Languages Spoken

English

HIGHLIGHTS

$75,000+

Min Project Size

250 - 999

Employees

2014

Year Founded

Services

Focus

Industries

Clients

Services Provided+6 Services

4% Cloud Consulting & SI

1% Other IT Consulting and SI

1% ERP Consulting and SI

8% BI & Big Data Consulting & SI

9% Machine Learning Model Development

3% AI Strategy & Roadmap Consulting

25% Cloud Migration Services

8% Data Strategy Consulting

About the Team

OUR STORY

Wavicle is a rapidly expanding data analytics firm recognized for its strong industry partnerships and exceptional workplace culture. The company emphasizes a values-driven approach focused on delivering measurable business impacts, starting every project with a deep understanding of clients' goals to create thoughtful and lasting solutions. Wavicle prioritizes people, fostering innovation through curiosity, transparency, and accountability. Collaboration is central to their success, enabling the best outcomes. Leadership highlights their commitment to guiding businesses through cloud data strategies, including data warehousing, migration, and integration. With hands-on, purpose-led teams investing in research and development, Wavicle actively addresses real-world challenges while contributing to the broader tech community, cultivating a culture of continuous learning, innovation, and collective growth.

Portfolio

POS Data Mart for Smarter Analytics

Unknown

The global digital analyst team of this fast-casual restaurant chain aimed to analyze trends within its POS system and supporting data to identify opportunities for enhancing productivity, sales, and average ticket size through increased digital technology adoption. Their existing data warehouse contained all domestic POS transactions but was excessively large and filled with raw data, making it difficult to obtain quick, reliable outcomes. The Wavicle team collaborated closely with the client's user community, including business analysts and data scientists, and recognized the need for insights such as sales comparisons across various times of day and between different locations and regions, as well as the impact of various POS setups in the restaurant (like kiosks and drive-thru) on service efficiency metrics. They developed a data mart on the client's Amazon Redshift database platform, integrating previously siloed data like POS, SoS, promotional, and loyalty information, and presenting actionable insights in a user-friendly and high-performance format. Utilizing the design features of Amazon Redshift, such as stored procedures, sort keys, and distribution keys, they created tables tailored for the needs of business analysts and data scientists. While summary tables were optimized for particular queries, a dedicated exploration table enabled data scientists to delve into more granular data patterns. This solution equipped the client with valuable insights regarding sales channels, particularly at a crucial time when they were assessing the effects of the COVID-19 shutdown on restaurant sales and operations. They needed to evaluate the implications of the shift from dine-in to take-out and delivery services. The newly created summary data mart facilitated analysts in retrieving data summarized by POS area at both the restaurant and regional levels, providing the leadership team with essential information during an unprecedented crisis. For the complete case study and more details, visit https://wavicledata.com/case-studies.

Electronics manufacturer optimizes logistics with AWS cloud solution

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When a global manufacturing firm discovered it lacked the necessary data to enhance its supply chain logistics, Wavicle provided a real-time analytics platform that combines data from internal SAP systems and external shipping vendors into an AWS-based cloud data environment. Executives sought immediate insights to optimize costs and logistics for the transportation of tens of thousands of products and materials within their global network and among shipping vendors. They required a high-performing data management solution to consolidate data from various internal and external sources for analysis and reporting. Wavicle created a solution to replace the company’s existing Excel-based reporting and analytics. Having previously established a cloud data infrastructure for the client’s procurement team, we utilized this Amazon Web Services (AWS) setup to create a logistics data lake on S3, a data warehouse with Amazon RedShift, and data integration through Talend. This enables the company to connect data from several internal SAP systems, shipping vendors, third-party logistics companies (3PLs), and Infor Nexus, which monitors the locations of shipping vessels. End users now have access to the required data for reporting and analytics through Microsoft’s Power BI. This solution provides the client's logistics team with quick access to accurate and updated information for evaluating vendor costs, services, and delivery speeds; identifying logistical inefficiencies; negotiating with vendors; and enhancing their global network. The integration of a data lake and data warehouse allows for enterprise reporting on an aggregated dataset and the exploration of a comprehensive set of raw data for more intricate inquiries. For the full case study and others, visit https://wavicledata.com/case-studies.

Quick Service Restaurant Optimizes Food Delivery

Unknown

The client aimed to monitor and assess the performance of its expanding third-party food delivery service and its impact on the business to ensure proper inventory for popular menu items, sufficient staffing, timely deliveries, and sustained customer satisfaction. They were worried about potentially losing revenue control and customer brand loyalty without these guarantees. A data-driven solution became essential for achieving financial success in a competitive market. Wavicle developed a data model and process to consolidate source data from various third-party food delivery partners into a unified data warehouse, turning fragmented data into actionable operational intelligence. The client’s management gained access to customizable reports that provided insights into sales, delivery, customer feedback, and fees, allowing them to analyze these metrics by restaurant location, delivery partner, date, and time. With these visualized metrics, they could continually assess and enhance their food delivery operations. This solution equipped the client’s operators with essential analytics at a broader level while enabling them to delve into specifics, address particular challenges, and improve food delivery performance. Since adopting this solution, total food delivery orders have grown, now representing over 10 percent of sales in delivery-capable locations. Furthermore, the average transaction value for food delivery is considerably higher than for non-delivery. They now view food delivery as a crucial contributor to global growth. This solution integrates corporate data, including point-of-sale (POS) information, with third-party food delivery data to track, measure, and visualize key metrics such as sales, delivery, customer, and fee metrics. For more details, read the full case study and others at https://wavicledata.com/case-studies.

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