Data-driven services that help organizations succeed in a rapidly changing digital world. Helping businesses clean, organize, and govern complex enterprise data.
Data is the backbone of personalization, customization, Big Data, and Artificial Intelligence. How well is your business using all of the data you access, generate, and store?
What happens to your dark data - the data you are already collecting, processing and storing, but aren't yet using for analytics, business, and monetization?
Our data and analytics services let you access and leverage your data, tailored to your industry and your customers.
For businesses looking to move away from monolithic platforms and build customized, agile, and scalable solutions. Object Edge microservices solutions create a modern architecture with API-based technology stack. This allows you to cherry pick the best in class solutions to grow your specific business. Our Know Your Customer (KYC) platform was created specifically for industry leaders looking for advanced analytics as well as predictive reporting. KYC connects customer, product, marketing, traffic, engagement, order, and inventory data seamlessly in real-time.
Data engineering is the practice of collecting, transforming, and organizing raw or unstructured data into a format that can be used for analysis. It involves a variety of techniques, such as data modeling, metadata management, data lineage design, data warehousing, and data cleansing, to extract and transform data for easier analysis. Data engineering can also involve the use of search engine optimization (SEO) techniques to ensure that data is accessible and easy to find for users. SEO is used to improve the visibility of data on the web, making it easier for users to find what they need.
Master Data Management (MDM) is a process used to ensure the accuracy and consistency of data across an organization. It is the practice of collecting, organizing, and maintaining data from multiple sources in a single system. Enterprise MDM is a combination of technology, process, and organization stewardship. MDM can help organizations to gain better understanding of their data, as well as improve data accuracy.
Product Information Management (PIM) is a process used to store, manage, and organize product information in a central repository. PIM is used to create a single source of truth for product data across an organization, ensuring that all teams have access to accurate, up-to-date product information. PIM can streamline product launches, reduce errors, and improve customer experience. It can also help to improve search engine optimization (SEO) efforts as PIM systems can provide detailed product information to make it easier for users to find the products they are looking for.
Product Content Management (PCM) is the practice of creating, organizing, and managing product-related content. It is used to ensure that product-related content, such as product images, descriptions, and videos, is accurate and up-to-date. PCM can help organizations to improve the customer experience by providing detailed, accurate product information.
Prescriptive analytics is the practice of using data and analytics to make predictions about future events and outcomes. It is used to analyze past data to make predictions about what will happen in the future and to provide recommendations on how to best prepare for the future. Prescriptive analytics can help organizations to make more informed decisions by providing recommendations based on data-driven insights. It can also help to improve decision-making processes by providing information on potential risks and rewards associated with certain decisions.
Discover how a major sporting goods retailer leveraged data to drive personalization and conversion.