Data analytics

By utilising, analysing and visualising data, your company can enhance its operations and improve its profitability and customer service significantly.

Optimise your business with data analytics

It is estimated that the amount of data in companies will grow 50-fold by 2020. As much as 85 % of the data will come from new data sources.

According to our studies, managing directors see the key benefits of data and its analysis as an improvement in operational efficiency and an improved customer experience. Data-driven companies are the best in their own field and more productive than their competitors.

The key benefits of data and our data anlytics services:

High quality data 
  • Improvement of the quality and management of master data
  • The health checks of core business and finance systems (system settings, transactions, usage rights)
  • Development of the reporting of the IT system or system environment
  • Aiding in system integrations and securing them
Operational efficiency
  • Improvement of the efficiency of the procurement process
  • The correctness of purchase pricing and its consistency with the purchasing policy
  • Development of warehouse management and the warehouse process
  • Profitability comparisons between business units
  • Improvement of the effectiveness of working capital in project operations
Productive selling
  • The analysis and reporting of the delivery terms and invoicing speed of the sales process
  • The analysis and reporting of the customer returns of sales
  • Agile Business Intelligence analyses, focused in accordance with rapid needs 
Supply Chain management 
  • Improvement of supply chain management and the effectiveness of working capital
  • Assessment and improvement of the efficiency of the processes of the service centre 
Prevention of malpractices 
  • The analyses coming from the field work of the inspection in different business processes
  • The health checks of procurement, expenses invoicing and payroll management data, e.g. to reveal malpractices

 

Datan määrä tuplaantuu kahden vuoden välein ja on arvioitu että tiedon määrä yrityksissä kasvaa 50-kertaiseksi vuoteen 2020 mennessä. Jopa 85 % datasta tulee uusista datalähteistä.  Asioiden internetin (Internet of Things) arviodaan sisältävän 26 miljardia yksikköä 2020 mennessä ja  IoT-mobiiliratkaisujen osuus kasvaa samalla ajanjaksolla yli 75 %. Hyödyntämällä data-analytiikasta saatavaa tietoa yrityksesi voi merkittävästi parantaa ja tehostaa toimintaansa.

Tutkimustemme mukaan toimitusjohtajat näkevät datan ja sen analysoinnin avainhyötyinä operatiivisen tehokkuuden parantumisen (90%) ja parantuneen asiakaskokemuksen (82%). Datalähtöiset yritykset ovat oman toimialansa parhaita ja tuottavampia kuin kilpailijansa. Kuitenkin lähes 30 % yrityksen päätöksentekijöistä myöntää tukeutuvansa datan sijasta intuitioon päätöksenteossa.

 

Datan määrä tuplaantuu kahden vuoden välein ja on arvioitu että tiedon määrä yrityksissä kasvaa 50-kertaiseksi vuoteen 2020 mennessä. Jopa 85 % datasta tulee uusista datalähteistä.  Asioiden internetin (Internet of Things) arviodaan sisältävän 26 miljardia yksikköä 2020 mennessä ja  IoT-mobiiliratkaisujen osuus kasvaa samalla ajanjaksolla yli 75 %. Hyödyntämällä data-analytiikasta saatavaa tietoa yrityksesi voi merkittävästi parantaa ja tehostaa toimintaansa.

Tutkimustemme mukaan toimitusjohtajat näkevät datan ja sen analysoinnin avainhyötyinä operatiivisen tehokkuuden parantumisen (90%) ja parantuneen asiakaskokemuksen (82%). Datalähtöiset yritykset ovat oman toimialansa parhaita ja tuottavampia kuin kilpailijansa. Kuitenkin lähes 30 % yrityksen päätöksentekijöistä myöntää tukeutuvansa datan sijasta intuitioon päätöksenteossa.

How can your company use data analytics to optimise your business?
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Power up your business with comprehensive social media analysis

Our new service gives insight to our clients of how social media visibility affects companies’ financial status. The service, developed in collaboration with InsightsAtlas, combines the information about client’s sales, products and customers with social media activity and with other available information.

This enables a clear general view of which factors really have an impact on the client’s sales. Reliable data of customer behaviour allows clients to make their marketing more precise and target their audience more effectively. When the correlation can be clearly indicated, clients are able to react more effectively to improve their sales, communication and marketing.


Stages for high-quality data analysis:

The first stage in data analytics consists of gathering and combining data. We acquire the necessary data from your company’s systems and other sources. Your own IT specialists or external IT system administrators can also produce material. We are strongly involved in all data acquisition situations and in the validation of the data dependability and usability.

We use several tools that support the systems of your company whilst conducting data analyses. We model business processes and the data flows that are associated with them in a transparent way. We can handle data masses of even a billion lines from many different data sources and environments. Repeating the analyses done is easy. Often, the execution phase already brings up many useful areas for development.

The visualisation of data is editing raw data into a form, which is easy to understand and use. We want the users of the results to be able to understand and talk about the analysis results and their findings easily and, if needed,also go deeper into the details. At our disposal we have QlikView and Tableau as well as other tools that make real-time and detailed visualisations possible.

The benefit of data analytics is creating added value for the business and the different processes of the company. The results and new views obtained support your company, depending on the situation, for example in risk management and the management of operational efficiency and income and expenses. They also help in developing the product structure, improving margins and identifying growth possibilities.


We help your company in an all-encompassing way by taking all the perspectives of data into account and bringing data analytics to be a natural part of the operations of your company. 

Data analytics that grows your business takes several things into account.
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Discover: What is the value of data to your company?

We help your company in the evaluation of the value and quality of data and by supporting you, for example in data-gathering, preparation and cleaning up of data and identifying and utilising new data sources. 

Trust: Can you rely on the data?

We improve the reliability of data by going through the data sources of the systems and processes, data security and data protection, for example by securing the controls of business systems or confirming the correctness of the data.

Describe: What happened and why?

We bring up new things and perspectives, which have not been noticed before by drawing up descriptive and user-friendly results from the data, which make trends, case-effect relationships and why something happened evident, for example.

Predict: What might happen next?

We help in predicting risks and identifying opportunities, from both the company’s own data and data in the business sector. We provide automated data-gathering applications for your use, with which the predictability of the business is improved.

Optimise: How should you act?

We find the best business models with the aid of data analyses, as well as solutions for enhancing and optimising the business and predicting risks and expenses from different business and customer perspectives.

Empower: Are the results with the decision-makers at the right time?

We help in putting results into practice by identifying the key people who must have access to the data, developing reporting to make it easy to understand and offering clear suggestions for action.

Embed: How do you make analytics a part of the business?

We support you in the construction of an analytics model by mapping out resources and capabilities and integrating the analytics into your company. We offer a comprehensive data analytics service, from data management to analytics and business recommendations.

This is how our clients have benefited from data analytics:

The management of the client wanted to monitor profitability in real time. We carried out efficiency analyses of the working capital of procurement and sales for the client, as well as client and business-specific profitability analyses, which lead to problems being identified. Over the course of four years, the effectiveness and profitability of working capital improved clearly. The client felt the analyses to be so useful that it integrated them into its systems.

Our client had invested significantly in the systems of the procurement process and their automation, but the process was still laborious, inefficient and prone to errors. Monitoring of the procurement process was also challenging and there were shortcomings in reporting. We carried out extensive data analyses for the client, through which we established the faults in the process and their causes. Based on the analyses, we drew up reports through which the client could follow the improvement in the efficiency of the process and the reduction in faults in real time.

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Data Analytics Marketplace

Our growing portfolio of analytic apps and platforms, alliances, and joint business relationships (JBRs) help position our clients to unlock data possibilities and make better and faster decisions. Data Analytics Marketplace can help you grow your business with actionable, data-driven insights.

Data-driven: Big decisions in the intelligence age
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Data-driven: Big decisions in the intelligence age

We asked 2,100 C-suite leaders, business unit heads, and SVPs across about decision-making and to they see themselves as data-driven such as their reliance on machine learning versus human judgment.

Working with machines to make decisions
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The human factor: Working with machines to make big decisions

Executives are now face-to-face with machines that can learn from massive amounts of data. It’s changing people’s relationships with technology and it’s opening the door to truly data-driven decision-making. It’s time to welcome science into the C-suite to find a new mix of mind and machine.

Contact us

Risto Huovinen

Data Analytics, PwC Finland

Tel: +358 (0)20 787 7883

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