Business Analytics

Analytics can be used to develop intelligent, self-learning systems based on Big Data that can recognize patterns, predict events, and suggest actions. Through cognitive capabilities, also called artificial intelligence, actions are not programmed but learned by machine. For example, a recommender system can use past data and patterns to make suggestions to customers that are tailored to their needs and circumstances, thereby increasing the attractiveness of the service.

Meanwhile, there are a variety of use cases of such systems such as.

  • Fraud detection: detection of irregularities in business transactions and transcation
  • Smart metering: Enables intelligent network and resource control
  • Smart Billing: Building flexible billing systems
  • Predective Maintenance : Reduction of machine and equipment downtime
  • …

These use cases are leading to new disruptive, data-driven business models and services and are changing the business and working world on an enormous scale. This is because companies can generate significant competitive advantages through Big Data Analytics by

  • Improve decision making
  • Optimize business processes and increase profitability
  • Provide better and individual service to the customer
  • Calculate and minimize risks
  • Make prices more precise and dynamic
  • Identify and exploit trends and opportunities

As a result, business analytics projects have a direct impact on corporate strategy, organization and processes. These must be taken into account in advance and brought into line with the corporate strategy so that the solution can later be integrated into the organization and process landscape.

Our solution

Our procedure

With our holistic solution approach of “Big Data Analytics” platform, Analytics Suite and our service portfolio, EnterpriseMind can offer you a complete business analytics solution from a single source and support you in increasing your digital value creation and generating competitive advantages.

We offer our customers holistic solution approaches that accompany the company from strategy to implementation and operation. In addition, with the combination of our extensive process expertise and Datasciences know-how, we can offer a comprehensive solution portfolio.

With supply chain analytics, you create transparency about your supply chain and optimize your supplier management. Real-time monitoring can identify risks for delays and failures at an early stage and avoid delivery bottlenecks.

By incorporating external factors and forecasts, you can optimize your pricing strategy and pricing policy with dynamic price adjustments. In this way, you create transparency about the price development and use the potential for profit increase.

With Human Resource Analytics, you optimize the utilization of your employees and avoid over- or underemployment. In addition, the efficiency of training and continuing education measures can be measured.

With predictive analytics, you can develop models for sales forecasts based on historical data, taking into account external data (weather, commodity prices, economic cycle …) and thus optimize your resource planning and workforce scheduling.

Anomaly detection models can be used to examine business transactions and transcations for fraud and compliance risks. This enables security-relevant risks to be identified at an early stage and countermeasures to be taken.

With Churn Analytics, you can determine the risk of customer churn and initiate countermeasures in good time. This gives you the opportunity to identify customers at risk of emigration and strengthen customer loyalty through individual support.

Create improved decision support with intelligent, self-learning recommendation systems. This increases customer loyalty and satisfaction, optimizes your product range and availability, and reduces your storage and transport costs.

By evaluating social media and web data such as postings, comments, blog or forum entries, you create transparency of customer opinion and market perception. In addition, you can manage risks, such as reputation damage, identify it early on and optimize your offering based on customer preferences.

Our service

Consulting
Finance & Reporting
Data Sciences
Software Engineering

  • 1. strategy

    We gain a deep understanding of your business model, processes and organization. In collaboration with you, we clarify how Big Data and Anlytics can support you in achieving your business goals and what opportunities it offers you.

  • 2. determination and definition of applications

    We help you identify areas where a Big Data Analytic project can add the most value. We then work with the departments to develop the appropriate use cases and help you select them.

  • 3. digital value creation and information design

    We get an overview of the database. In the EM Process Management module, we record the essential processes, identify the data sources and make the digital value creation transparent. Then, in the Information Management module, we design the information design and implement it of the ,,Big Data Analytics” platform.

  • 4. data preparation

    In the fourth step, we capture the ETL processes (Extract, Transform, Load) in the ETL module. As a result, the data is extracted from the various data silos of the departments or systems, processed and loaded into the Big Data database according to the information design. In addition, missing data must be enriched and external data such as commodity prices, the economy, weather, social media, etc. must be included. EnterpriseMind offers you a pool of external public data already prepared for Analytics. In addition, compliance risks must be taken into account. When personal data is enriched, it must be anonymized.

  • 5. model development

    Based on the data, we develop the corresponding models in the Analytics module using machine learning. We select the optimal statistical method specifically tailored to your requirements. E.g. for a recommand system it is especially regression models, decision trees and neural networks that are applied here. Through an iterative procedure, the models are optimized using past data until the desired probability is achieved.

  • 6. go-live and integration

    In the sixth step, we clarify with you how you want to integrate the solution into your system and process landscape. In the Analytics module, you can design the appropriate reporting according to your requirements, which periodically evaluates the data based on the model and generates the results as reports. Or you can, for example, as is usual with recommender systems, set up a server service that generates the suggestions based on the parameters passed and these can be queried by other systems (e.g. online store, ERP, etc.). We then design, program and implement the solution for you and coach your staff to interpret the results.

  • 7. monitoring and optimization

    Finally, we help you implement a process to monitor and further optimize the quality of the model.

Our solution offers you the following advantages

Complete solution from a single source

With our “Big Data Analytics” platform, analytics suite and service portfolio, we cover the necessary technological and process-related areas to be able to implement a complete business analytics solution for you. With our expertise in Big Data and Analytics, we can design and program individual solutions for your needs and requirements. With our process expertise, we help you implement and transform the new solutions into your business processes.

leading technology

Our solutions are based on leading technologies such as Cassandra and Spark. These are also used on other platforms from SAP, IBM and Microsoft.
This means you benefit from future technological developments and are independent of any one provider.

Cloud based and agile

Since our Big Data Analytics platform and analytics suite are cloud-based, we can quickly implement them in your private cloud and create the technical requirements for a Big Data Analytics solution. In addition, we follow an agile approach by achieving measurable results and successes at an early stage.

High degree of automation

Thanks to our analytics suite, batch and analytics processes are also largely automated. This frees up resources that would otherwise be tied up in simple, standardized activities. Multiple monitoring services ensure safe and easy operation.

Highly scalable

The horizontal scalability of our platform enables you to adapt the system’s performance to growing demands. By adding servers, the performance is increased proportionally (or linearly). Thus, additional servers can be added during the computationally intensive phase of model development, and then these can be reduced again.

Easy to integrate

We customize our ,,Big Data Analtics” platform accordingly to integrate it into your system and process landscape. With our IT know-how, we design and implement the necessary interfaces and services.

Building up know-how

Through coaching and ,,Self-BI” we help you to build up your own know-how in your company. This enables your employees to adapt reports to individual needs or to create reports themselves.

Security and Comliance

The infrastructure of most cloud providers already has high security measures in place to protect your customers’ data. To meet COBIT security and compliance requirements, we use industry standards such as OAuth2 client authorization and SSL encryption in our Analytics Suite and Analytics Platform. In addition, we apply best-practice IT processes in the design, development and implementation of systems and solutions. In our Analytics Suite, you can map an authorization concept according to your organization and implement controls according to your internal control system.

low initial investment costs

In the IaaS (Infrastructure as a Service) model, the cloud provider makes basic IT resources such as computing power, storage or network capacity available to you. Thanks to the high scalability of our system and the consumption-based billing of cloud providers, you can implement Big Data analytics projects with low initial investments. Furthermore, it is possible to change the cloud provider or migrate the platform to your data center at a later date.

Learn more about our solution approach and contact us

Contact

This post is also available in: German