IBM Technologies

IBM Cognos Analytics with Watson is a high-performance reporting and analysis tool that provides all relevant functions for enterprise-wide reporting.

Features of IBM Cognos Analytics with Watson at a glance:

• Fully web-based functions, no need for desktop tools
• Self-service functionality: enrichment of data by end users
• Mobile use with the same functionality and quality of results, including dashboard creation
• Cloud convenience and complete governance: flexible administration of rights
• Creation of online and offline reports and analyses
• Mobile retrieval of reports and analyses with the Cognos Mobile App
• Comprehensive back-end for administration (server, security, scheduling, etc.)
• Flexible adaptation of the user interface to the company's corporate identity (logo integration, color scheme, etc.)
• Access to all relational data sources
• Availability in the Cloud and On-Premises

IBM Cloud Pak for Data is a fully integrated platform for AI, analytics, reporting and planning. It supports the entire analytics and AI lifecycle: from accessing data, to delivering solutions to users, to monitoring finished AI models.

With this platform, you increase your efficiency in orchestrating all available data. You also reduce the effort and complexity for data analysis and preparation. As a result, your transformation to a data-driven enterprise succeeds qualitatively better and faster. The solution follows a new architectural concept for data platforms, which is called Data Fabric.

"By using IBM Cloud Pak for Data, you get 8x faster access to distributed data for half the cost. You can also reduce ETL requirements by up to 65%." IBM

IBM Envizi ESG Suite is a software platform that helps organizations manage and optimize their energy and sustainability initiatives. It provides tools to track and analyze energy consumption, carbon emissions and other environmental metrics, as well as tools to set and track sustainability goals and initiatives. IBM Envizi can be used by a wide range of organizations, including commercial and industrial enterprises, universities, hospitals and government agencies, to reduce environmental impact and save on energy costs.

Using Envizi for energy and sustainability management provides the following benefits:

• Increased visibility and control: Envizi provides real-time data on energy consumption, carbon emissions and other environmental metrics, enabling organizations to identify inefficiencies and opportunities for improvement.
• Cost savings: By identifying and eliminating inefficiencies in energy use and other sustainability initiatives, companies can save on energy costs and reduce waste.
• Improved sustainability performance: Envizi enables organizations to set and track sustainability goals and initiatives, helping them reduce their environmental impact and achieve their sustainability goals.
• Regulatory Compliance: Envizi helps organizations comply with environmental regulations and reporting requirements.
• Improved reporting and communication: Envizi provides detailed reporting and visualization tools that make it easier for companies to communicate their sustainability initiatives and progress to stakeholders.

IBM ILOG CPLEX (CPLEX) is an analytical toolkit for modeling and solving linear optimization problems. The goal of such (linear) optimization is to find the optimum of a system that depends on various influences. In mathematical terms, it is the calculation of a minimum or maximum of an objective function. Such an objective function can be, for example, a formula for sales, costs, yield or inventory.

CPLEX provides decision support and enables the rapid development and implementation of optimization models based on mathematical models. The tool combines an integrated development environment (IDE) with powerful Solvers for optimization and the advantages of the modeling language OPL (Optimization Programming Language) - plus connections to the programming languages C, C++, Java and Python. In addition, a Matlab toolbox and interfaces to SPSS are available.

You enter your mathematical optimization potential as an objective function and the conditions under which the objective is to be achieved - CPLEX provides you with solutions for the optimization.

By using ILOG CPLEX you can:

• Optimize your business decisions
• Quickly develop, implement, and commission optimization models thanks to flexible interfaces and predefined implementation scenarios
• Significantly improve your business results with real-world applications
• Optimize your KPIs (production, profits, resource utilization, routes, etc.) - respond optimally to acute events and problems, evolve optimization models to adapt to changing business processes

With IBM SPSS Modeler, users can create and use self-learning predictive models without deep programming and statistical knowledge. The processing of large data volumes and the integration into existing BI architectures can also be solved in a standardized manner. In this way, SPSS makes it possible to gain new insights from company data without much effort and to adapt measures accordingly.

The self-learning predictive platform delivers valid answers to business questions using intelligent algorithms and innovative data mining techniques in a user-friendly, visual environment - including text mining, entity analysis, decision management and optimization to provide predictive information in real time. In this way, upcoming developments are identified at an early stage, business opportunities and risks are reliably determined, and planning is improved in the long term.

A unique selling point of the Modeler is its visual analysis interface, which enables intuitive operation with easy access to data, its preparation and modeling. The individual work steps run automatically and allow even users without specialist knowledge to quickly and easily create accurate forecast models. On the other hand, the open architecture offers data specialists a wide range of options for expansion and customization.

The Modeler's licensing model supports the agile and step-by-step development of an integrated predictive analytics environment in your company. We would be happy to advise you here according to your individual analytics requirements.