Download PDF
Destiny Corporation: Helping banking, insurance and retail clients cut analytics run-times from hours to minutes
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
Services
- System Integration
- Training
The Challenge
In the knowledge economy, speed of insight is a key competitive differentiator. Established organizations must be prepared to move as fast as their new competitors—but the critical first step is to see the right opportunities and identify the competitive threats in a timely fashion. However, existing approaches to analysis and reporting are often stuck in the age of the spreadsheet. Even where organizations have adopted data warehouses and enterprise analytics tools, the usual heavy reliance on IT specialists leaves business users frustrated at the lack of flexibility and speed in getting answers to critical business questions. Many of the clients who engage with Destiny Corporation are struggling to identify and respond appropriately to new competitive pressures because it takes them too long to gain a clear insight into opportunities and issues.
About The Customer
Destiny Corporation is a consulting firm that specializes in understanding each client’s business requirements and designing complete solutions to meet them. For topics such as business process optimization, analytics, and data warehousing, Destiny is the trusted, objective advisor for its clients. Destiny Corporation works with Fortune 500 companies across financial services, banking, insurance, and retail. Even at large and sophisticated companies, it is surprising to see that the approach to managing and querying large sets of data often has not moved with the times. Many of the clients who engage with Destiny Corporation are accustomed to queries that take 20 or more hours to run or to analyze smaller samples of data due to the need for immediate answers to business questions.
The Solution
Destiny Corporation, an IBM Premier Business Partner, has a long history of deploying IBM PureData System for Analytics solutions, formerly Netezza, for clients, using the data warehouse appliance to power deeper and faster queries on large and complex data sets. This works seamlessly with other IBM analytics software such as IBM Cognos® Analytics, IBM BigInsights® for Hadoop data services and IBM InfoSphere® Streams for real-time analytics. Beyond the outright performance benefits it offers, Destiny Corporation favors PureData System for Analytics for its simplicity, ease of management and user-friendliness for non-technical business personnel. As part of the deployment process, Destiny Corporation offers training workshops to get business users up to speed with PureData System for Analytics.
Operational Impact
Quantitative Benefit
Related Case Studies.
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.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.