Data repository designed to capture
enterprise data
Data repository designed to capture enterprise data
A Data Lake Is A Data Repository Designed To Capture Enterprise Data
System of Records Data
Real-time Streaming Data
Semistructured Data
Time Series Data
Social Media Data
Our Offerings
Data Analytics Stratagy
- Initial engagement with the client to understand their current capabilities and develop a Data analytics strategy and roadmap
- Set a vision to transform the organization from a Traditional BI / DW environment to a faster and insight-driven organization
Platform Modernization
- Building the data platform to transform their core BI / DW / Analytics platform
- Data management, data integration with best of breed tools including open-source to construct reporting & analytics
Data Lakes & Cloud Enablement
- Creating an end to end data platform using AWS / Azure / OCI for clients that are adopting analytics workloads in the cloud using cloud-native services.
Analytics Modernization
- Building and replacing existing inventory of the reports developed in legacy BI tools and excelusing best of breed reporting and analytics tools that span cloud and on-premise
- Building an asset for self-service analytics, cognitive analytics, and IoT analytics from Hybrid solutions
Poorly Defined metadata designed specifically for technology usage. The use of different technology solutions to solve similar business problems.
Investing significant time and effort in Database, ETL, data storage, and reporting development effort
Lack of self-service capabilities. Need to invest time and resources, even for small enhancements.
Need for better and smarter predictive modelling that utilises the right content at the right time deployed to the right device.
In search of real-time analytics to gain the insights that are actionable
If you answer Yes to any of these items, you’ve landed in the right place!
Welcome to Oracle CX Technologies, the ultimate solution for modern customer experience management. Our innovative cloud-based platform offers a complete suite of sales, service, and commerce solutions designed to help businesses of all sizes deliver exceptional customer experiences and drive growth.
Sales Cloud: Boost Your Sales Performance
Our Sales Cloud is a powerful tool that helps you manage your sales process from start to finish. With features like lead management, account and opportunity management, forecasting and pipeline management, and sales analytics, you can streamline your sales efforts and achieve your revenue goals.
Service Cloud: Elevate Your Customer Service
Our Service Cloud empowers your customer service team to provide faster and more
personalized support. With features like case management, knowledge management, self-
service portals, and customer engagement, you can enhance your customer satisfaction and
loyalty.
Our Commerce Cloud is a comprehensive platform that enables you to create seamless and
personalized online shopping experiences. With features like site design, order management,
and omnichannel commerce, you can reach new customers, grow your sales, and increase
customer loyalty.
Why Choose Oracle CX Technologies
Cloud-based Platform: Our platform is hosted in the cloud, so you can access it from anywhere, on any device.
Innovative Features: Our solutions are packed with innovative features that help you deliver exceptional customer experiences and drive growth.
Proven Results: Our solutions have been adopted by leading businesses across the world and have a proven track record of delivering results.
Ready to Deliver Exceptional Customer Experiences? Contact Us Today!
If you’re ready to take your customer experience to the next level, contact us today to schedule a demo of our solutions. Our team of experts will help you find the right solution to meet your specific needs and help you deliver exceptional customer experiences.
10Industry-standard compliant and/or certified based Enterprise Data Model
Over 1,000’s+ tables and 17,500+ columns
Over 250+ industry measures and KPIs
Contains Logical, Physical,Third Normal Form Atomic, Dimensional models
Industry-specific Measures and KPI’s
Pre-built OLAP cubes, Mining Models & Reports
Automatic Data Movement Among Layers
Extensive business intelligence metadata
Easily extensible and customizable
Application Agnostic
Central repository for atomic-level data that can be deployed on-premise or in the cloud
Rapid implementation (Time –to – Value)
Make ODM Enterprise-wide Solution
When completely baffled by statistical analysis
Sophistication in statistics compensates for lack of data and/or business understanding.
Model accuracy often becomes the final arbiter – resulting in the classic trap of choosing a technique that provides maximum accuracy over most business erudition.
Extracting meaning out of randomness
Common outcome problem – “Problem of Over-Fitting” in statistics, where a model that is able to explain minute data variations but fails despondently on any new data.
Correlation versus causation
Modeling helps uncover causal relationships – rains cause sales of umbrellas and not vice versa, but there is no way for the model to know this.
Enterprise Data Analytics + Oracle Industry Data Models
Enterprise Data Analytics designed for IDM
Work with existing IDM tables, packages and analysis
End-to-End Pre-defined data solutions
Semi-structured data loading adaptors
3NF layer “ data model plug-in” to support structured and semi-structured data join analytics
Enterprise data advanced analytics /prediction models
Advanced KPI’s and reports that traditional DW/BI can not achieve
When completely baffled by statistical analysis
Sophistication in statistics compensates for lack of data and/or business understanding.
Model accuracy often becomes the final arbiter – resulting in the classic trap of choosing a technique that provides maximum accuracy over most business erudition.
Extracting meaning out of randomness
Common outcome problem – “Problem of Over-Fitting” in statistics, where a model that is able to explain minute data variations but fails despondently on any new data.
Correlation versus causation
Modeling helps uncover causal relationships – rains cause sales of umbrellas and not vice versa, but there is no way for the model to know this.
Enterprise Data Analytics + Oracle Industry Data Models
Enterprise Data Analytics designed for IDM
Work with existing IDM tables, packages and analysis
End-to-End Pre-defined data solutions
Semi-structured data loading adaptors
3NF layer “ data model plug-in” to support structured and semi-structured data join analytics
Enterprise data advanced analytics /prediction models
Advanced KPI’s and reports that traditional DW/BI can not achieve
The challenge most leaders face is how to leverage their oceans of data to give the company a competitive advantage
The previously elusive goal of data monetization has become more achievable.
Our analysis of a four-stage journey of a leading U.S. retailer identifies the potential benefits and drawbacks of data monetization.
Based on this company’s experiences, we provide lessons that can help enterprises considering data monetization initiatives.
The process simplified…
In retailing, new supplier/customer ecosystems are emerging in which BI&A services are offered through a supplier portal, which can be cloud-based.
Cloud-based BI&A platforms allow retailers and their suppliers to share data and analytics, often for a price. Or a company may monetize its data by exchanging it for other benefits. These data-sharing ecosystems often involve new players.
While many companies would like to monetize their data, monetization is often difficult. When the intangible value of data can be converted into real value using proven apporaches,, enterprises may realize these benefits at lower or no cost.
Through these simple steps…
Monetization Strategy
Data Science & Decision Theory
Repeatability & Scalability
& following a straightforward path…
Build Analytical Capabilities as Primary
Build Technical Data Infrastructure as Primary