下载PDF
DataOrbis Creates Future-Focused Data Partnership to Serve its Global Clients
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
- 功能应用 - 远程监控系统
适用行业
- 消费品
- 零售
- Professional Service
适用功能
- 商业运营
- 销售与市场营销
- 质量保证
服务
- 系统集成
- 软件设计与工程服务
- 数据科学服务
挑战
DataOrbis was finding it difficult to process the amount of data they needed to process. With their previous data visualization platforms, they constantly had to break up reports into multiple subsets of data to handle the amount of data in one report. Even worse, their clients were having to log into multiple reports to see their information. The company was also challenged by the number of small report edits and changes they received from clients monthly. Minor adjustment requests came in all the time, resulting in a frustrated data visualization team who was spending valuable time making those changes. “We were finding the solution we had couldn’t quite meet the requirements of all our end users,” Nicola says. “We have quite a wide variety of end users we report to, CEOs of companies, as well as field sales and merchandising teams in stores. We need a tool and a set of reports that cater to both those kinds of end users — and everyone in between.”
关于客户
With offices in several major gateways, DataOrbis provides data and technology solutions to some of the world’s best-known consumer brands. A Smollan-owned company, DataOrbis works across 5 continents, primarily serving manufacturers, retailers, and distributors within the FMCG (fast-moving consumer goods) industry. DataOrbis’ goal is to transform companies into businesses driven by data. They help their clients implement solutions to track performance and ultimately help them make better business decisions. DataOrbis’ solutions range from data management and visualization services to solutions that enable data-driven execution in stores. “Our clients rely on our data,” says Nicola Lapage, DataOrbis’ head of insights. “It’s an integral part of their business, and they use it to make the most important decisions in their business. So, it’s vital we have a tool that delivers well.”
解决方案
DataOrbis embarked on an intensive POC process, considering myriad tools in the data analytics market. In the end, they chose Pyramid Analytics primarily for the breadth of its capabilities, its unmatched flexibility in providing robust data access to their customers — wherever and whomever they may be — and its superior customer support. “The reason we chose to go with Pyramid is we felt they could offer what we see as a true partnership with our analytics provider,” says Tamryn Le Riche, DataOrbis’ customer success manager, who has overseen the migration to Pyramid. “The support they offer us is best in class and the licenses are much more cost effective. Their innovation in the advanced analytics and predictive analytics space is also impressive and this is where we see most of our business growth coming from in the future.” DataOrbis uses its custom built SMART DATA platform to house and process its data. The SMART DATA platform ingests, integrates and stores the data. Once harmonized this data is pushed into the Pyramid Analytics platform’s data models. DataOrbis builds all its front-end calculations and dashboards in Pyramid.
运营影响
数量效益
相关案例.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
