Why Choose KPMG for Data and Analytics?

The KPMG Malta team brings together people from various specialities allowing us to deliver on projects across key business areas, including strategy, customer experience, risk and quality. With a formidable portfolio of technologies, built through alliances with Google, Microsoft, Oracle and IBM, we strive to deliver a business-first approach. This means focusing on solving complex business issues with analytics, rather than applying a rigid toolset to everything we encounter.

The Data and Analytics Journey

Data and Analytics Journey
Frequently Asked Questions

3 Pillars of Data Analytics

Data Management
  • Ensuring that the collection and holding of data is structured, controlled, consistent and protected, whilst providing a holistic view of the data.
  1. Data Warehousing
  2. Data Mapping
Business Intelligence
  • Transformation of data into information.
  • Providing strong support for both strategic and operational decision.
  1. Visualisations, dashboards and reports using Power BI, Tableau and QlikView
Advanced Analytics
  • Understanding the data through scientific methods, processes, algorithms and systems to extract knowledge and insights from the data.
  1. Trend Analysis
  2. Predictive modelling
  3. ‘What-if’ Analysis

What do the professionals have to say about Data Analytics?

The Value of Analytics in 2019
The Value of Analytics in 2019
The Value of Analytics in 2019 – Kearney
The Value of Analytics in 2019 – Kearney
The Value of Analytics in 2019 – Kearney

This article explains Kearney’s Analytics Impact Index, which has been created to analyse the profit impact of analytics on companies. One result showed that the leaders within the space of data analytics generate at least 83% more profits than companies without much data analytics included in their operations.

This article explains Kearney’s Analytics Impact Index, which has been created to analyse the profit impact of analytics on companies. One result showed that the leaders within the space of data analytics generate at least 83% more profits than companies without much data analytics included in their operations.

This article explains Kearney’s Analytics Impact Index, which has been created to analyse the profit impact of analytics on companies. One result showed that the leaders within the space of data analytics generate at least 83% more profits than companies without much data analytics included in their operations.

The Age of Analytics and the Importance of Data Quality – Forbes
The Age of Analytics and the Importance of Data Quality – Forbes
The Age of Analytics and the Importance of Data Quality – Forbes
The Age of Analytics and the Importance of Data Quality – Forbes
The Age of Analytics and the Importance of Data Quality – Forbes

This article focuses more on the importance of data quality, rather than the immediate effects that analytics creates. Without properly collecting and holding data, the analysis will not show high quality results, which may result in low quality decision making.

This article focuses more on the importance of data quality, rather than the immediate effects that analytics creates. Without properly collecting and holding data, the analysis will not show high quality results, which may result in low quality decision making.

This article focuses more on the importance of data quality, rather than the immediate effects that analytics creates. Without properly collecting and holding data, the analysis will not show high quality results, which may result in low quality decision making.

How Data Analytics Impacts Small Businesses in 2019 – business.com
How Data Analytics Impacts Small Businesses in 2019 – business.com
How Data Analytics Impacts Small Businesses in 2019 – business.com
How Data Analytics Impacts Small Businesses in 2019 – business.com
How Data Analytics Impacts Small Businesses in 2019 – business.com

This article explains the three most common ways in which small businesses can implement data analytics to become more efficient and effective in their operations, including: (1) Deep Learning algorithms, using chatbots, which assist in responding quicker and more intelligently to an increasing amount of consumer queries, and (2) Dark Data Manipulation – which is the process of collecting and using information assets that a company collects, but fails to use.

This article explains the three most common ways in which small businesses can implement data analytics to become more efficient and effective in their operations, including: (1) Deep Learning algorithms, using chatbots, which assist in responding quicker and more intelligently to an increasing amount of consumer queries, and (2) Dark Data Manipulation – which is the process of collecting and using information assets that a company collects, but fails to use.

This article explains the three most common ways in which small businesses can implement data analytics to become more efficient and effective in their operations, including: (1) Deep Learning algorithms, using chatbots, which assist in responding quicker and more intelligently to an increasing amount of consumer queries, and (2) Dark Data Manipulation – which is the process of collecting and using information assets that a company collects, but fails to use.

KPMG Articles
KPMG Articles
KPMG Articles
KPMG Articles
KPMG Articles

KPMG Malta has written multiple articles that attempt to provide more information regarding the local market with reference to the Data Analytics Journey: i. Implementing a Modern Data-Driven Strategy ii. Tapping into the Data Revolution iii. Data Analytics – Make vs Buy iv. Achieving a Data Driven Culture v. Why Data Analytics

KPMG Malta has written multiple articles that attempt to provide more information regarding the local market with reference to the Data Analytics Journey: i. Implementing a Modern Data-Driven Strategy ii. Tapping into the Data Revolution iii. Data Analytics – Make vs Buy iv. Achieving a Data Driven Culture v. Why Data Analytics

KPMG Malta has written multiple articles that attempt to provide more information regarding the local market with reference to the Data Analytics Journey: i. Implementing a Modern Data-Driven Strategy ii. Tapping into the Data Revolution iii. Data Analytics – Make vs Buy iv. Achieving a Data Driven Culture v. Why Data Analytics

Why Data Analytics?
Data and Analytics category
Why Data Analytics?
3 min read

More businesses are recognising the importance that data plays within their organisations.

Tapping Into the Data Revolution
Tapping Into the Data Revolution

Data analytics requires a myriad of skills and an environment that cultivates innovation

Implementing a Modern Data-Driven Digital Strategy
Implementing a Modern Data-Driven Digital Strategy

Using data to boost performance requires an awareness of capabilities and desired outcomes

Achieving a Data-driven Culture
Achieving a Data-Driven Culture

Companies with a solid data-centred strategy can attain significant business benefits.

Digital adoption and transformation
Digital-driven transformation category
Digital adoption and transformation

Technology offers opportunities to rebuild your business around the customer.

Contact us

Marc Rizzo blog posts
Marc Rizzo
Data and Analytics Lead, Digital Solutions
KPMG in Malta
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