Big data in the telecommunications industry
Strengthening customer loyalty is one of the most important goals of companies across all industries. A German telecommunications provider with over 12 million customers was well aware about the untapped potential in its data. It therefore decided to explore the possibilities of big data and to develop informative business cases based on this data.
60% reduction in cancellation rates
75 % reduction in waiting times in the call centre
Sentiment analysis enables fraud detection
Data analytics in medical technology
Achieving the highest-possible quality is the top priority for a medical device manufacturer that supplies premium-quality medical devices to clinics worldwide. The big data project was aimed at determining the potential of digitisation technologies for use in conjunction with the machines used in production. The data that can be acquired was taken into account and an analysable data model was developed.
30% reduction in waste
25% reduction in energy costs
Optimisation through systematic data analysis
- Big Data Take advantage of big data
- Advanced AnalyticsTransform data into your "raw material of the future"
- Business IntelligenceBenefit from business intelligence and performance management
- Smart IndustrySmart Industry keeps your finger on the pulse of the market
- Digitisation and document managementFrom a data archive to active knowledge management through digitisation
Data is just there – we help you understand it
Take advantage of big data
Regardless of the industry, high-quality products and services are just as decisive to a company’s success as trusting client relationships. Improving these relationships is becoming increasingly challenging. These efforts are supported by data analyses conducted under the heading of big data. Although many companies know that their data contains untapped potential, the majority still don’t have a specific big data strategy. Only very little data is processed and analysed on a regular basis to glean the insights it contains. For the first time, big data technologies are not only able to put structured but also unstructured data to use, reveal new insights and help improve our understanding of market activities.
Big Data in practice
What do the analysis of the data of 50 million insured individuals, the establishment of a new track & trace service for the logistics industry and the real-time analysis of more than 60,000 e-mails per month in the mobile communications industry have in common? All of these scenarios are based on a large volume of data in different formats and stored at different locations. In order to tease added value out of these data sources, some of which are new, they must be consolidated, analysed and then visualised. Which cross-industry challenges can be addressed using this kind of big data technology?
- Additional information for a better understanding of market activities
- Improved customer loyalty through new and demand-driven services to prevent cancellations
- Cut costs
- Achieve sustained improvements in product and service quality
- Push product sales: generate additional business, such as through cross-selling, up-selling or next best offer
- Performance optimisation: optimise processing speeds, minimise latencies and reduce data losses
We can help!
How? By making big data understandable and making it easy to get projects launched. Take advantage from our experience gained from more than 800 projects as well as our methodological expertise in the areas of business analytics, data warehouse and big data. We act as a link between IT and the line of business. Within the framework of an Analytics & Data Workshop, we work with IT and specialist departments to analyse the current situation, general conditions and strategic objectives in your company and develop an individual solution that meets your requirements.
Advanced Analytics – transform data into a “raw material of the future”
While filtering and aggregation have often been used in the past to extract added value from data in the area of controlling, new evaluation methods have become established within the framework of big data. Statistical methodology makes data speak for itself and permits new insights.
Data Science is the new discipline that is producing the occasional surprise. In addition to offering a new perspective on data, it also taps new sets of data. Where only Excel tables were used in the past, free text, audio files and even videos can now be analysed and exploited to gain a better understanding of business processes. The algorithms available in the cloud quickly produce results that had previously been almost unattainable – with one example being facial recognition. Advanced analytics tools are also ideal for making predictions regarding future events and behavioural patterns: What-if analyses make the consequences of one or more changes in a business process or strategy predictable.
Advanced analytics in practice
In businesses, data accumulates continuously in ever-larger quantities: e-mails, new incoming orders, conversations with employees, customers and partners via phone, social media and website forms, machine readings, location data, video recordings and much more. This data contains countless pieces of information that hold enormous potential for optimising existing business processes and developing new business models. Advanced analytics has done away with the limitations that previously applied to data analysis, whether in terms of data volume, source or format, or the speed at which this data is analysed. This means that big data can help provide insights into many different divisions of a company, and it can do so in almost real time:
- More efficient, flexible corporate reporting
- Impact of Industry 4.0 and the Internet of Things as sources of data in your own company
- Audit-proof, efficient introduction of data management and data analysis systems
Reduction in manual intervention when collecting information and provision of a wide range of comparable, consistent information
- Improved data quality
- Ability to use data to manage the digital transformation within your company
We can help!
How? By making advanced analytics transparent and making it easy to get projects launched. We help our clients transform the heterogeneous flood of data into information that benefits the company. We factor in all data sources including social media data, customer correspondence, master and invoice data as well as all relevant market data. We use our specially developed, standardised and methodical approach to consulting to identify suitable technical and organisational measures for our customers. In the Data Science Workshop, we examine every area of relevance, including architecture, data integration and processes, in order to optimise existing and new business models and prospects.
Analytics & Data Workshop
Sound decisions – better results.
Benefit from business intelligence and performance management
Professional Business Intelligence (BI) systems deliver information and insights to improve operational, tactical and strategic decisions in line with corporate goals. BI uses analytical concepts and IT systems to this end. In a first step, decision-relevant data from the company’s own divisions and from external data sources, such as weather, market and potential data, are automatically consolidated, i.e. processed in a structured and application-oriented manner. The data is methodically evaluated by means of reports, dashboards, analyses, scorecards, etc. to obtain the desired information. Companies can use this information to make their business processes, and customer and supplier relationships more profitable, cut costs, minimise risks and thus increase value creation.
Business intelligence inpractice
Only a holistic view of your data and, by extension, of your business processes will help you achieve your goals. That’s the challenge, because different divisions of a company produce a variety of data from a multitude of business processes and applications. Our mutual goal is to consolidate this data and generate forward-looking insights as a basis for sound decision-making. Whereas certain things used to be too costly, time consuming or even impossible to do manually, a BI system selected based on your requirements makes these technically possible and even automates the process.
- Calculation of holistically generated, intelligent key figures without any manual effort
- Specific recommendations on actions to take based on the data for operational divisions
- Solutions for increasingly fierce competition
- Identification of opportunities to generate sales and profits
- Flexibly adjustable
- Modern and user-friendly visualisations
We can help!
How? By making business intelligence understandable and making it easy to get projects launched. Axians and its architects, project managers and consultants have extensive experience with the conceptual design, implementation and operation of BI and performance management solutions. As your first point of contact, we serve to answer any and all questions on reporting, analysis, planning, forecasting, budgeting, data exploration, dashboarding, self-service BI, ETL and scorecards.
Smart Industry keeps your finger on the pulse of the market
With Smart Industry, companies gain real-time visibility into their business processes. This leads to more flexible opportunities for action and global optimisation potential, which is reflected in enhanced resource productivity and efficiency, among other things. The result: swift exploitation of value-added and deployment potential while simultaneously creating opportunities for new business models. Axians is a facilitator between IT and industry. Thanks to our sister company Actemium, we are in a position to combine in-depth IT and industrial process knowledge.
Smart Industry in practice
Manufacturing companies have to manage increasingly complex production processes and customer requirements. The long investment cycle found in manufacturing often means that the mix of older and newer machinery also uses different system languages and protocols. This makes it hard to maintain a comprehensive and transparent overview of their entire production process, yet this overview is essential in order to continuously improve and automate.
Meet challenges with solutions:
- Identify the sources of errors and increase transparency in the production processes
- Analyse production data and reduce the rate of waste produced
- Measure, analyse and optimise machine capacity utilisation
- Optimise processes: production, orders, delivery, maintenance
- Cut costs: production, quality, personnel
We can help!
How? By making Smart Industry understandable and making it easy to get projects launched. We support transitions from the automation pyramid to a data storage-focused, service-oriented IT architecture and balance the conflicting interests of IT and production. With our specially developed, standardised and methodical approach to consulting, we identify suitable technical and organisational measures for your company to ensure that nothing stands in the way of networked production. In the Smart Industry Workshop, we work together to examine every area of relevance, including architecture, data integration and processes, in order to optimise existing and new business models and prospects.
Document management: From a data archive to active knowledge management through digitisation
Unstructured document filing often makes it difficult to find business-relevant documents quickly and easily. Time-consuming searches cost money and can lead to unnecessary delays in the event of an audit. Even today, many processes are still frequently based on e-mail correspondence. Yet even modern e-mail systems are incapable of allowing processes for approvals, incoming invoices, etc. to be handled in a truly efficient, transparent way. While the majority of your intellectual property is contained in your documents, publications and files, this is often only available to a few employees or is forgotten. We help you to digitise “manual” processes such as quotations, order processing and deputisation arrangements and promote productivity in your company with a sophisticated document management system (DMS).
When is action needed?
- Data cannot be located, neither on paper nor in a data silo.
- Documents are unstructured.
- The e-mail system is misused as an archive for lack of a sensible file storage system.
- Documents are not versioned: no document history available
- Processes are performed manually or through undefined e-mail correspondence
- Data in the company is stored in different silos and company-wide searches for this data are extremely time-consuming.
- ERP systems are slowing down because they are no longer able to cope with the growing volumes of data.
- Compliance requirements are not met because the storage process does not comply with the law.
- Processing costs are too high because efficient processing is impossible.
We can help!
How? By making digitisation and document management understandable. The goal is to always have the right data in the right place at the right time. This involves both process optimisation and the digitisation of business processes. We free you from this data chaos and help you find relevant information instead of searching for it. Within the framework of a Digitisation and Document Management Workshop, we work with IT and specialist departments to analyse the current situation, general conditions and strategic objectives for your company and develop an individual solution that meets your requirements.