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

Why Embark on the Data Analytics journey? What are the benefits?

Data Management

1.      Why is there a need to invest in having a good data structure in place?

Good data management is the fundamental building block for any form of analysis. A proper system will help reduce the time it takes to acquire the right data from the organisation, meaning that less time is taken up looking for that data, and more time is used in analysing it. In the long term, more costs are saved.

2.      What is data warehousing, and how can it help my organisation?

Simply put, data warehousing (if required) is the virtual space where your data will be stored. In order to achieve this, lots of data is collected from multiple sources around the organisation and is subsequently cleaned (ie checked for errors and missing information). Once that is done, the data is sorted into the warehouse to be included with the information that is already there.

Since companies continuously collect data, over time this vast amount can be hard to handle. Thus, this process of data warehousing helps consolidate all the data easily, which in turn allows for quicker extraction of clean, useable data to be used in reporting and analysis.

Business Intelligence - Interactive Visualisations

1.      What are Interactive Visualisations, and how can it help in management reports?

One key issue found in most organisations is that data is needed to be collected from multiple sources. This causes issues such as delayed responses, which in turn affect the speed of decision making and analysis. Following centralising of data, be it through your company’s already centralised system or through the help of KPMG, the right business intelligence tools can be used. Through just a few clicks, business leaders can access important information in near real-time, whereby each data point is gathered into a dashboard.

2.      Why should I use business intelligence to extract and view KPIs?

Although the tracking and calculating of KPIs can be done through simple excel sheets, business intelligence tools are able to incorporate vast amounts of historical data to analyse the trends associated with those KPIs. Additionally, when using advanced analytics, forecasting methods can be created to attempt to forecast the more important KPIs based on the available internal and external data. Therefore, business intelligence can aid in areas such as scenario analysis so that decision makers can avoid making some costly, and more importantly time-consuming mistakes in their decision making.

Governance

1.      What are the consequences of not being up to standard?

The General Data Protection Regulations (GDPR) can enforce a fine of up to €20 million or 4% of annual revenue, which ever is the higher. Therefore, it is imperative that data governance is properly set up and monitored on a regular basis.

2.      Why should I invest in good data governance?

A good data governance will benefit an organisation in more ways than just avoiding large fines. It is essential in saving costs at an operational level. Proper governance structures will ensure that the minimum amount of time is spent in locating personal data of customers. If duplicate information is created, personnel in marketing, sales, finance and operations departments will be required to spend time tracking down the correct information of these duplicate results and resolving them.

3.      How does good data governance tie in with Business Intelligence?

The main goal is increasing the overall confidence in any analysis carried out using the company’s data. A good data governance will assure that the calculations and analysis of KPIs are correct and business leaders will have more confidence in forecasted results of important business metrics.

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 KPMG has to Offer

We at KPMG Malta are always looking for new and innovative ways to help strengthen your business using Data and Analytics. Below are our new services being offered:

          1.  Enterprise Performance Management (EPM)

  • EPM software focuses on the financial aspect of an organisation. These systems are implemented to assist in the planning, budgeting, forecasting and reporting of performances, along with the consolidation, creation and analysis of financial results. The greatest benefit of implementing and using EPM software is the ability to quickly identify and embrace disruptive (be it internal or external) situations. The following is a list of tools that can be used through EPM:

                         i.     Optimizing financial reporting

                         ii.     Increased efficiency in account reconciliations

                         iii.     Improved planning

                         iv.     Greater insight into costs and profits

                         v.     Managing change

          2.  Advanced Data Management (ADM)

  • ADM focuses on driving additional value added to applications and systems that exist within an organisation. This can be done using multiple tools and concepts. At KPMG Malta, we have the expertise to focus on the following, but not limited to:

                         i.     Transaction Management

                         ii.     Query Processing

                         iii.     Spatial Databases

                         iv.     Collecting, understanding and analysing WWW and Social Media Data

What do the professionals have to say about Data Analytics?