{"id":500,"date":"2026-03-05T14:45:07","date_gmt":"2026-03-05T13:45:07","guid":{"rendered":"https:\/\/optenergy.de\/?page_id=500"},"modified":"2026-03-06T09:52:17","modified_gmt":"2026-03-06T08:52:17","slug":"analyse","status":"publish","type":"page","link":"https:\/\/optenergy.de\/en\/analyse\/","title":{"rendered":"Analysis"},"content":{"rendered":"
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Analysis<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Case Study<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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From raw data to clear bases for action<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Challenge<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A team was faced with the task of evaluating extensive data from various sources. Model results, external reports, and internal raw data were stored separately from one another. It was difficult to draw conclusions, comparisons were time-consuming, and coordination took a long time. Decisions were delayed because the data basis was not clear enough.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Goal<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Establish a reliable basis for decision-making, systematically expand knowledge, design cost-efficient processes, tap into revenue potential, and improve the quality of evaluations. This requires a uniform and clean data basis, clearly visible relevant key figures, and a structured analysis of trends and correlations. The appropriate methodology ensures that results are robust, reliable, and traceable.\u00a0\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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What we do<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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We analyze existing data streams, consolidate sources, check consistency, and identify relevant key figures. We then prepare the results so that they can be used directly, for example in reports, visualizations, or structured evaluations. Findings are classified and shared with the team.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Result<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The decisions made on this basis increase revenues and improve quality in the long term. This is because the data is available in a uniform, complete, and traceable form. The team works with clear key figures, recognizes developments more quickly, and can make informed decisions. A transparent analysis process has been created from heterogeneous data sets and established within the company.\u00a0\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Analysis creates economic impact<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What is evident in the case study is not an isolated case, but the result of structured analysis. When data is consistently collated, professionally evaluated, and understood in context, you gain a basis for decision-making with economic relevance. Your revenue potential is more clearly identified, risks are weighted more precisely, and market movements are recognized at an early stage.\u00a0<\/p>\n

Analysis thus makes a direct contribution to earnings, stability, and positioning. In the future, your decisions will be based on reliable key figures and comprehensible derivations. Strategic options are transparently compared and classified according to their impact.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Interpretation as strategic added value<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data provides figures. Impact is created through classification. We evaluate correlations, recognize patterns, and place developments in an energy industry context. At your request, we can help you derive concrete options for action and recommendations for decisions from analyses and clearly present their effects.\u00a0<\/p>\n

This combination of data understanding, methodology, and market knowledge creates added value that goes beyond mere evaluation and enables strategic control.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Analysis integrated into your existing processes<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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We dive right into your data landscape and work with model results, internal sources, and external data sets. Results are prepared in such a way that they can be integrated into existing processes and used in everyday work.<\/p>\n

Technical depth and clear structure ensure that evaluations support your decisions and serve as a basis for further steps.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Traceability and long-term expertise<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Methodology, assumptions, and derivations are documented transparently. Results can be discussed internally, reused, and further developed in a targeted manner.<\/p>\n

We work closely with your team and continuously coordinate procedures and classification. Analytical expertise remains available within the company and grows with new questions.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Modeling<\/a><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Many analyses are based on electricity market models. We work with BID3, PLEXOS, and PyPSA and continue to develop models in a targeted manner to enable reliable and meaningful results.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Tooling<\/a><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Evaluations can be automated so that they are reproducible, consistent, and accessible with just one click.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Consulting<\/a><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Together, we define which analyses are necessary to position your company for the future and strategically secure its future.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Analyse Case Study Von Rohdaten zu klaren Handlungsgrundlagen Herausforderung Ein Team stand vor der Situation, umfangreiche Daten aus verschiedenen Quellen auszuwerten. Modellergebnisse, externe Reports und interne Rohdaten lagen unverbunden nebeneinander. Aussagen waren schwer zu treffen, Vergleiche aufwendig und Abstimmungen dauerten lange. Entscheidungen verz\u00f6gerten sich, weil die Datengrundlage nicht klar genug war.\u00a0 Ziel Eine belastbare Entscheidungsgrundlage […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-500","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/pages\/500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/comments?post=500"}],"version-history":[{"count":10,"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/pages\/500\/revisions"}],"predecessor-version":[{"id":536,"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/pages\/500\/revisions\/536"}],"wp:attachment":[{"href":"https:\/\/optenergy.de\/en\/wp-json\/wp\/v2\/media?parent=500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}