The Data Strategy Building A Data Driven Business

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A Practical Guide to Intelligent Business Performance: Learn How to Position Your Business for Success Leveraging Data

Last updated 2022-01-10 | 4.4

- How to profit from a world of big data
- analytics
- and AI
- How to use data to improve business decisions
- Understand your customers and markets

What you'll learn

How to profit from a world of big data
analytics
and AI
How to use data to improve business decisions
Understand your customers and markets
Provide more intelligent data-driven services
Learn how to build more intelligent products
Put your business in a position to be able to monetize its data
Define relevant data use cases for your industry
Learn how to source and collect data
Understand the importance of data governance
ethics and trust
Be able to turn data into insights
Know how to collect
process
and store data
Improve your data communication skills
Build the necessary data competencies in your firm
Execute your data strategy
Ask clear Key Business Questions (KBQs)
Be able to distinguish the fundamental types of data analysis techniques
Learn how to design a KPI dashboard
Gain an idea which are the most valuable skills for data scientists and data analysts
Understand which data strategies fail
Acquire a ‘use data for good’ perspective

* Requirements

* No prior experience is required. We will start from the very basics

Description

  • How to profit from a world of big data, analytics, and AI
  • How to use data to improve business decisions
  • Understand your customers and markets
  • Provide more intelligent data-driven services
  • Learn how to build more intelligent products
  • Put your business in a position to be able to monetize its data
  • Define relevant data use cases for your industry
  • Learn how to source and collect data
  • Understand the importance of data governance, ethics and trust
  • Be able to turn data into insights
  • Know how to collect, process, and store data
  • Improve your data communication skills
  • Build the necessary data competencies in your firm
  • Execute your data strategy
  • Ask clear Key Business Questions (KBQs)
  • Be able to distinguish the fundamental types of data analysis techniques
  • Learn how to design a KPI dashboard
  • Gain an idea which are the most valuable skills for data scientists and data analysts
  • Understand which data strategies fail
  • Acquire a ‘use data for good’ perspective

Course content

16 sections • 78 lectures

Welcome to the course! 1 lectures

Welcome to the course! Preview 02:12

Deciding your strategic data needs 1 lectures

Delineating the 5 strategic data use case areas Preview 05:29

Using data to improve your decisions 8 lectures

Section Introduction Preview 02:19

Curated dashboards vs. self-service data exploration Preview 03:39

Challenges related to self-service data exploration Preview 05:12

Asking key business questions first (KBQs) Preview 03:07

The power of clear Key Business Questions (KBQs) Preview 04:15

How to ask the right Key Business Questions Preview 08:09

Giving people access to data Preview 02:14

Curating the most important data insights Preview 02:22

Using data to understand your customers and markets 5 lectures

Secton intro Preview 04:34

How this butcher uses data to understand customers Preview 04:49

Netflix use case - vs Disney - this is why Disney launched Disney + Preview 06:06

Amazon use case Preview 02:54

The increasing need for real-time data to understand customers and markets Preview 04:14

Using data to provide more intelligent services 1 lectures

Using data to provide more intelligent services Preview 06:20

Using data to make more intelligent products 1 lectures

Using data to make more intelligent products Preview 06:54

Using data to improve your business processes 1 lectures

Using data to improve your business processes Preview 06:04

Monetising your data 2 lectures

Monetising your data - intro Preview 03:31

The Shotspotter case study Preview 03:16

Defining your data use cases 3 lectures

Defining data use cases walk through (part 1) Preview 02:20

Defining data use cases walk through (part 2) Preview 06:56

Defining data use cases walk through (part 3) Preview 02:54

Sourcing and collecting the data 10 lectures

Secton intro Preview 02:23

Structured vs unstructured data Preview 04:17

Internal vs external data Preview 05:34

Different types of data Preview 05:27

Meta data Preview 04:16

The importance of realtime data Preview 09:07

Gathering internal data Preview 05:13

Accessing external data Preview 04:33

Sources of external data Preview 06:20

When the data you want doesn't exist Preview 02:53

Data governance 4 lectures

Section intro Preview 02:53

To own or not to own Preview 02:49

Ensuring the correct rights are in place Preview 04:15

Case study on building trust Preview 03:11

Turning data into insights 17 lectures

Section intro Preview 00:55

Text analytics Preview 03:29

Sentiment analytics Preview 01:37

Image analytics Preview 01:24

Video analytics Preview 02:02

Voice analytics Preview 01:51

Data mining Preview 01:51

Business experiments Preview 01:55

Visual analytics Preview 01:44

Time series analysis Preview 02:12

Monte carlo simulation Preview 01:37

Linear programming Preview 01:09

Cohort analysis Preview 02:21

Factor analysis Preview 01:57

Neural network analysis Preview 03:39

Deep learning Preview 02:24

Reinforcement learning Preview 02:13

Creating the technology and data infrastructure 11 lectures

Section intro Preview 01:44

How to collect data Preview 04:11

Database, Data warehouse, Data mart and Data lake Preview 06:00

How to store data Preview 03:35

How to process data Preview 02:44

Communicating data Preview 01:10

What is а KPI dashboard Preview 03:37

How to design a KPI Dashboard Preview 02:31

Reporting lessons from journalists Preview 04:06

Using KPI dashboard software Preview 01:58

Big data as a service Preview 05:14

Building the data competencies in your organisation 6 lectures

Section intro Preview 00:59

Skills shortage Preview 05:15

The skills needed for a data scientist Preview 03:41

Building internal skills and competencies Preview 02:34

Outsourcing your data analysis Preview 03:10

Leadership challenges Preview 05:02

Executing and revisiting your strategy 6 lectures

Putting the data strategy into action Preview 03:41

Why data strategies fail Preview 07:30

Creating a data culture Preview 03:17

Revisiting the data strategy Preview 01:35

A changing business environment Preview 02:56

Changing technology landscape Preview 02:45

Looking ahead 1 lectures

Using data for good Preview 03:22