Analytics & Data means analysing, visualising and interpreting information more efficiently than before to gain a decisive advantage on the market.
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.
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?
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.
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.
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:
Reduction in manual intervention when collecting information and provision of a wide range of comparable, consistent information
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.
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.
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.
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.prospects.
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.
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.
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.
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).
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.