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The more you know, the more you can achieve. Our experienced team of trainers and professionals shares their specialized knowledge in digital marketing with individuals, teams and companies around the world. Helping you discover more, do more and go further. This is growing knowledge. This is growing together.
React faster than the competition. We'll create dashboards to detect significant trends in marketing activities and customer journeys, driven by the latest automation and big data technologies.
Every company depends on data, and this data is used to generate reports that will help companies make informed decisions with the right information. When there is a multitude of data to access, analyze and compile, if done manually, such a task can require a lot of resources and time. Business intelligence (BI) helps to simplify and automate the process, as well as to generate qualitative reports.
With the tremendous growth of business technology and advances in cloud technology and mobile applications, various business terms, such as business intelligence and associated concepts, such as big data, data analysis, data mining, etc., are generating a stir. Business Intelligence (BI) is a set of technology-driven processes and technologies that convert raw data into useful information to drive profitable business actions. Big data involves storing, processing and visualizing a combination of structured, semi-structured and unstructured data collected by companies to extract meaningful information and knowledge. Big data analysis uses various advanced analytical techniques, such as predictive models, statistical algorithms, etc., to analyze and process large and diverse data sets of different sources and sizes. The main objective of Big Data analysis and business intelligence is to summarize data results so that companies can discover real knowledge and trends, thus helping them to make informed decisions.
Some of the most common big data applications in companies include:
Organizations can use big data analytics to better understand customer needs and preferences. This can help them improve customer service and provide a more personalized experience.
Big data can be used to help companies improve product development processes. By analyzing customer interaction and feedback data, companies can identify trends and understand what products and features customers want.
Big data can help companies improve their marketing efforts by providing information about customer behavior. By analyzing data about customer interactions and interests, companies can develop specific marketing campaigns that are more likely to be successful.
Big data analysis can be used to improve business operations by identifying inefficiencies and waste. By understanding how customers interact with the organization's products and services, companies can make changes that improve efficiency and reduce costs.
Companies can use extensive data analysis systems and software to make decisions based on data to improve business-related outcomes, operational efficiency, revenue generation opportunities, and gain an advantage over competitors. Similarly, with Business Intelligence process automation tools and techniques, companies can easily translate collected data into valuable information about their business processes and strategies, helping them to make strategic business decisions that will improve productivity and revenue generation.
Without Big Data Analytics and Business Intelligence tools, companies will not take advantage of data-based decision-making. They will have to rely on accumulated knowledge, intuition and hunches to analyze the data. These methods can lead to potential errors and an incorrect interpretation of the data.
Big data provides new knowledge that opens up new opportunities and business models. Getting started involves three actions:
Big data brings together data from many disparate sources and applications. Traditional data integration mechanisms, such as extraction, transformation, and load (ETL), are generally not up to the task. New strategies and technologies are required to analyze large data sets at the scale of terabytes, or even petabytes.
During integration, you must incorporate the data, process it and ensure that it is formatted and available in a format that your business analysts can start with.
Big data requires soul.Enamement. Your storage solution can be in the cloud, on-premises, or both. You can store your data in any way you want and bring the desired processing requirements and necessary processing engines to those data sets on demand. Many people choose their storage solution based on where their data currently resides. The cloud is gradually gaining popularity because it supports your current computing requirements and allows you to increase resources as needed.
Your investment in big data pays for itself when you analyze and act on your data. Get new clarity with a visual analysis of your varied data sets. Explore the data deeper to make new discoveries. Share your findings with others. Build data models with machine learning and artificial intelligence.
Our expertise in Business Intelligence (BI) and Big Data stands as a catalyst for operational excellence. The ability to automate and simplify the generation of qualitative reports provides your company with a significant competitive advantage. From improving customer interaction to optimizing product development processes and refining business operations, our expertise in the strategic application of Big Data provides deep understanding that translates into data-driven decisions, driving business performance and unlocking new opportunities for growth. With tools that go beyond data accumulation, we offer solutions that integrate, manage and analyze, transforming information into clarity and action. Ultimately, in a world driven by data, we provide you with the tools to not only adapt, but to thrive.
