Digital Transformation Overview

Digital Transformation

• Digital transformation is one of the most transformational times in human history.
• This involves changes in how IT-centric systems are evolving to a more business-centric approach.
• The past involved IT-centric systems of record, traditional applications, transactional data and reporting and the Internet, all non-generative.
• The current model involves more business-centric strategies.
• Systems of engagement and insight are now more common, as are cloud-native applications.
• Data streams and the internet of everything are key elements of this shift.
• Generative approaches are also being employed.

Data Creation Growth Statistics

• 402.74 million terabytes of data are created daily.
• This includes data that is newly generated, captured, copied or consumed.
• In zettabytes, this equates to approximately 147 zettabytes per year, 12 zettabytes per month, 2.8 zettabytes per week or 0.4 zettabytes per day.
• The amount of data generated annually has been increasing year-over-year since 2010.
• 90% of the current global data was generated in the past two years.
  • in 2010 alone, there were just 2 zettabytes.
  • In 13 years, this has grown 74 times.
• 120 zettabytes of data was made in 2023, projected to grow over 150%in 2025, hitting 181 zettabytes.

Demand for Data Analysts

• A high demand for data analysts exists in the current job market.
• The role of a data analyst is to analyze and gain insights from large data sets.
• Data analysts are high in demand globally.

The Internet of Everything

• The Internet of Everything (IoE) is transforming the world into an intelligent world. This now includes devices that are data-enabled.

What is Big Data?

• Big data is a large and complex set of data that is difficult to process using traditional database management tools.
• Challenges include capture, curation, storage, search, sharing, analysis, and visualisation.
• Big data resembles small data, though is considerably larger.

Big Data vs Smart Data

• Big data is not about quantity of data, it's about its qualitative value.
• By adding analytics, these large data sets develop into smart data.

Data Visualisation

• The visual display of data, like charts or graphs makes data easily comprehensible.
• This aids to uncover patterns, trends, and associations within the data
• Visualisations are used to display findings to key stakeholders, leading to data driven decision-making.

Types of Data

• Structured Data - data with a fixed structure like Excel spreads or databases.
• Semi-Structured Data - data without a fixed structure but contains tags or other markers, such as emails.
• Unstructured Data - data without any recognisable patterns or structure, such as images or audio.

Data Analytics - The Process

• Data Analysis involves steps such as aggregating, enriching, presenting, and informing the basis for decisions.
• It includes a range of tools, both database, data mart, data warehouses, and ETL.
• These help to integrate data from various sources.

Data Analytics - Tools

• A variety of tools are available to aid data analysis, including various programming languages(e.g. PYTHON, R, SQL).
• Also include statistical packages (e.g. SAS, SPSS) and data analysis tools (e.g. Tableau, Excel, Qlik Sense).

Analytics for Business – Examples

• Market Basket Analysis - the study of grouping items that consumers frequently buy to learn how these items align and for use in marketing and promotion.

• Cluster Analysis - identifying group patterns from data, used in marketing, land use, and other areas.

• Decision Tree Analysis - a flowchart like model that shows a series of decisions and their outcomes that assist in making logical decisions. -Decision trees are used for credit applications, business investments, and product launch planning.

Big Data Case Studies

• Examples of companies that have used Big Data include UPS and Dell.
• The results of such analysis include saving money, increasing efficiency, and better decision-making.

Explore the significant shifts in digital transformation that are reshaping businesses today. This quiz covers the transition from IT-centric systems to more business-centric strategies, highlighting the growth of data creation and the integration of cloud-native applications. Discover the key elements driving this transformation in a data-driven world.