Becoming Data Smart

Data Literacy and Data Fluency

Wednesday, 24 June 2020 

Melbourne Business School, Carlton

Dave Wells is one of the world’s most influential thought leaders in data management over the last 30 years.

Data is the language of modern business. We use data to communicate among business units, to inform decision making processes, and to communicate with customers, partners, and employees. Unfortunately, we sometimes miscommunicate with data. When data consumers lack data literacy they are at risk of misunderstanding and misinterpreting reports and data visualizations. When data authors lack data fluency, they frequently produce reports and visuals that are easy to misunderstand.

You will learn:

  • The concepts of data literacy and data fluency and why each is important
  • How to prevent ambiguity and miscommunication.
  • How to do “quick reading” and “critical reading” of data visualizations.
  • How to craft storylines and narratives for data storytelling.
  • How to “listen to the data” when crafting a data story.
  • How to build a culture of data literacy and data fluency.

One Day Workshop

$ 1100
  • LIMITED PLACES. BOOK EARLY.

One Day Workshop + DMZ Conference

$ 3260
  • A GREAT DEAL
SAVE $240

One Day Workshop + DMZ Conference

$ 3090
  • 10% DISCOUNT
SAVE $410

About this Workshop

Data modeling is about understanding the data used within our operational and analytics processes, documenting this knowledge in a precise form called the “data model”, and then validating this knowledge through communications with both business and IT stakeholders. Underlying all successful applications is a robust and precise data model, and similarly, most software development failures are due to a lack of understanding of the data or data requirements.

A data model is, therefore, an essential part of applications development including forward engineering, reverse engineering, and integration efforts. Forward engineering means focusing on business requirements, whereas reverse engineering means modeling existing systems to drive the support, replacement, or customization of applications. Integration projects such as business intelligence efforts, data lakes, and master data initiatives, require a consistent holistic view of concepts such as Customer, Account, and Product.

Data Modeling Fundamentals contains two days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.

About Dave Wells

Dave Wells leads the Data Management Practice at Eckerson Group, a business intelligence and analytics research and consulting organization. Dave works at the intersection of information management and business management, where real value is derived from data assets.

Dave is an industry analyst, consultant, and educator dedicated to building meaningful and enduring connections throughout the path from data to business value. Knowledge sharing and skills development are Dave’s passions, carried out through consulting, speaking, teaching, and writing. Dave is a continuous learner – fascinated with understanding how we think – and a student and practitioner of systems thinking, critical thinking, design thinking, divergent thinking, and innovation.

Dave is a specialist in:

  • Business Intelligence & Analytics
  • Managing Performance
  • Data Architecture & Data Quality
  • Creative Problem Solving
  • Instructional Design
Venue

Workshop Times

  • Registration 8.00 am
  • Workshop starts 8.30 am
  • Workshop close 4.3o pm

Lunch and resfreshments are provided.

Parking

The University Square Public car park is a 5-minute walk from the venue. The casual rate is $25 per day.

What should I bring?

  • This is a participative workshop. 

  • Come prepared to interpret, find meaning in, and critique several data communication products, and perhaps even to tell a data story. 

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