The winner will understand the many functions required to acquire an analytical, let alone digital, mindset. The right data, relevance and perspectives, derived from a deep understanding of data science, data analysis and analysis, will determine how the organization operates. Big data plays a role, but at the same time, it is only part of a much larger context, not the only one. Sources: 6
For example, one would understand how important it is for companies to manage their data flow and gain insights to improve their business with various technologies. Large organisations have a huge customer base, resulting in huge amounts of incoming data, also known as big data. The term “big data” stands for the ability to analyze extremely large data sets to uncover patterns, trends and relationships. It describes what can be extracted from this information. Sources: 3
This has led to the need for comprehensive digitisation of business processes and harnessed the potential of data to make better and faster decisions for business and operational strategies. Providing the necessary and relevant information at the right time enables smarter data-driven planning, which can have a positive impact on business performance, efficiency and cost reduction. Sources: 2
IT and business departments are a decisive step on the way to a successful transformation. The key is to integrate big data with traditional business analytics to create a data ecosystem that allows companies to generate new insights while doing what they already know. Data and analytics are closely intertwined and need to work together to deliver the promised results of big data. BI, business analytics is the use of data to gain insights and advance business planning. The integration of big data with other business processes and processes is also necessary. Sources: 0
This is an iterative process based on data stakeholders using their experience to continuously improve, develop and enhance the value generated, which affects companies and society. Data actors must develop big data analytics capabilities in a way that generates value. Building on this discussion, we set up a data ecosystem to generate, store, process, share and use big data. We distinguish individuals from entrepreneurs and civil society by taking into account the role of the data actor in the development of an ecosystem of business analysis. Sources: 9
To achieve a successful data transformation, the right choice of analytics (BI) platform must be made to ensure that you get the most out of your data. Then data engineers have the best tools to build and maintain pipelines, streamline ETL, mash data, maximize access to data wherever they are, optimize query performance, and develop the best tools. We enhance developers “capabilities by collecting data and developing the most innovative, effective and targeted apps to improve your business. Sources: 1
Analysing the databases that websites and services collect will certainly help businesses transform and adapt to changes in their industries. Improvements in artificial intelligence and machine learning give companies new ways to search and sort data and gain the most useful insights that can help them transform their customers. As more and more workplaces are equipped with all kinds of technologies and data analysis tools improve, we can expect companies to find even more ways to optimize their services. And, as more countries enact laws governing how companies collect and share data, the value of that data is becoming increasingly obvious. Sources: 4
Data analysis helps increase ROI by measuring the effectiveness of organizational processes in real-time. Business Analytics has a number of use cases and gives companies a competitive advantage. For example, A leading fast-food chain uses data analytics to offer personalized services to international customers. The BDA is proving to be a game-changer for small and large companies alike, helping them break down information about past performance to develop strategies for the future. Sources: 8
CIOs are gearing up for the use of big data analytics implementations to achieve a digital transformation. Let’s take a walk through a few use cases where big data analytics implementations are buying unprecedented transformations. Big data enables companies to collect raw, structured and unstructured data from various sources. Predictions about customer behaviour and machine learning failures are possible. Sources: 7
About 40% of digital transformation initiatives will be supported by cognitive capacity and artificial intelligence, which will provide timely and critical information through new operational surveillance models. Analysis and big data solutions make it possible to pool information that leads to better decisions. Sources: 5
This has the potential to lead to a digital transformation. Finally, big data ecosystems will enable individuals to control their lives and decide what they want to share, and inspire them to be more active by assuming other roles within the ecosystem. Therefore, society is seen as an ecosystem in which data, information and knowledge are shared and disseminated to all stakeholders in order to achieve digital transformations and create a sustainable society. This generates enormous amounts of ubiquitous data to create value through new business strategies and policies.
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Cited Sources
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- https://www.sisense.com/blog/supercharging-your-digital-transformation-with-embedded-analytics/ 1
- https://explore.emtecinc.com/blog/why-big-data-analytics-should-be-part-of-your-digital-transformation-journey 2
- https://www.simplilearn.com/business-analytics-big-data-digital-transformation-tutorial 3
- https://www.techrepublic.com/article/the-top-technologies-that-enabled-digital-transformation-this-decade/ 4
- https://www.bi4all.pt/en/news/en-blog/the-applicability-of-analytics-and-big-data-in-digital-transformation/ 5
- https://www.i-scoop.eu/big-data-action-value-context/ 6
- https://www.saviantconsulting.com/blog/big-data-analytics-solutions-digital-transformation.aspx 7
- https://wire19.com/importance-of-data-analytics/ 8
- https://link.springer.com/article/10.1007/s10257-018-0377-z 9
