Tutorial:
Your Data Journey – From Understanding to Story-telling

Course Title:Your Data Journey – From Understanding to Story-telling
Training Mode:Instructor-led in-class tutorial
Duration:6 hours
Computer Lab:no

Brief introduction

Do you want to understand different approaches, tools and techniques that are used
to cater for a range of requirements for efficient delivery of insights and actionable information?

Description

Faster data, shorter decision cycles, increased pressures to do more with less effort and in shorter timeframes and the never-ending need to continuously adjust to disruptions keep driving demands for business intelligence and data analysis to support business agility, ad-hoc information requests and a knowledge-sharing culture.  Traditional ways of resource-exhausting data processing activities, required to convert Data into actionable Information have been struggling to deliver on promise for decades.  In order for information to be used in the most appropriate way, it needs to be accurate, authentic, unbiased, relevant, current, understood and presented effectively, in a timely fashion.

This training tutorial provides several perspectives on the capabilities essential to your data journey, illustrated with examples based on case studies and publicly available datasets.

The participants will learn from Oracle’s premier implementation partner about the essential analytic capabilities organisations require today to address their needs for flexibility and faster responses to changing conditions.  This tutorial will provide a practical perspective of implementing and utilising Oracle’s Data Analytics platform to deliver clearer insights, provide rapid answers to business questions and derive better decisions.

Learning Objectives
  • Learn from Oracle’s premier implementation partner about the essential analytic capabilities organisations require today to address their needs for flexibility and faster responses to changing conditions
  • Get a practical perspective of implementing and utilising Oracle’s Data Analytics platform to deliver clearer insights, provide rapid answers to business questions and derive better decisions
Audience
  • Information Consumers
  • Business Analysts
  • Data Engineers
  • Report Designers
  • Business Users
  • Executive Managers
Pre-requisites
  • none
Topics

Data Discovery

This is the initial part of any data journey, which enables data to be explored in an intuitive, interactive and easy-to-navigate manner.  Once data is explored and understood, user community gets better idea of the interestingness of data and how to extract the business value from available data assets.  Data Discovery helps users select the most appropriate analytical roadmap to distill the core data attributes, cleanse, refine, transform and prepare data for the process of converting it to information and rapid delivery of business value.

  • Overview of Data Exploration needs, benefits and principles
  • Demo: Data Discovery

Answering Known Questions with ‘Curated’ Information Model

This is still a very important part of the data journey, which allows users to answer known questions by accessing ‘curated’ data, pre-modelled to respond to descriptive information requests and produce answers to business questions and deliver interactive dashboards, dynamic web content, KPI watchlists, scorecards, alerts, analysis embedded into business processes and more.

The advanced semantic layer structure used in the Oracle Data Analytics platform provides a single version of facts for all system users and applications and provides transparent views of corporate information to all stakeholders and participants in analytical processes.  It provides authorised users with consistency of semantics across business units, subject areas, analyses and reports.  It allows the implementation of a common organisation-wide business and technical language, which is essential for the effective discovery, access, use and sharing of information.  This semantic layer enables implementation of basic information governance principles and constitutes a key component of interoperability, which enables information interchange and sharing across the internal business units, external partnering organisations and information consumers.

  • Answering Known Questions
  • Information Governance needs and challenges
  • Demo: Common Enterprise Information Model

Production of Pixel-Perfect Reports

This is a classic requirement that is still very common, expecting data to be converted into printable and publishable template-based information assets that meet the established reporting standards.

  • Delivering pixel-perfect Reports and Information Assets
  • Demo: Pixel Perfect Reports

Self-Service Data Analysis

This capability is expected from a modern Business Intelligence platform.  It empowers business users to easily join and explore various datasets, including personal data, social media feeds and publicly available datasets, to mash-up unrelated datasets and discover new behaviours, patters, anomalies, trends and relationships by comparing their trusted enterprise data with other data in their eco-system.

  • Common features of self-service data analysis
  • Demo: Self-Service Data Analysis

 Advanced Data Visualisations

Visual Data Analysis enables information professionals to expose stories hidden in the data in a visually attractive fashion, allowing information consumers to quickly understand the facts, identify new patterns, grasp difficult concepts and/or describe behaviours, respond to unforeseen questions and information requests, without heavy dependency on highly specialised skills.

  • Create Visual Insights and Tell Story hidden in your Data
  • Demo: Visual Data Analysis
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