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Big Data Consultancy Services
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What is Big Data?
Big data refers to very large sets of data that are so complex and diverse that they cannot be processed or analysed using traditional data processing tools. These data sets are often generated by a variety of sources, such as social media, sensors, and other types of digital data. The main advantage of big data is that it allows for the analysis of large amounts of information in a short period, enabling organisations to make more informed and timely decisions.
Big data is characterised by its volume, velocity and variety.
The amount of data generated and stored that can be processed and analysed. The size of these streams of data is generally measured in terabytes or petabytes.
Data processing speed. The speed at which large volumes of data are gathered and processed. Often, they are available in real-time.
In general, these large volumes of data are unstructured or semi-structured. That is, the type and nature of the data vary greatly. So, it is often necessary to preprocess this data before it can be analysed and used to extract meaningful insights.
Benefits of Big Data
Businesses of all sizes can benefit from the use of big data for decision-making and steering their business directions.
One of the main benefits of big data is that it allows organisations to make more informed and accurate decisions. By analysing large amounts of data, organisations can identify patterns and trends that may not be immediately apparent, and use this information to make better-informed decisions.
Increased competitiveness and Innovative Products
It is possible for businesses to stay ahead of the competition by building innovative products based on all the information they have.
Big data can give organisations a competitive advantage by providing insights that can inform business strategies and tactics. For example, by analysing customer data, organisations can identify new opportunities for growth and development.
Big data can also be used to improve the efficiency of business processes and operations. For example, by analysing data from supply chain systems, organisations can identify bottlenecks and inefficiencies, and implement changes to streamline operations.
Big data can also be used to detect fraudulent activity, such as fraudulent transactions or fraudulent claims. By analysing large amounts of data, organisations can identify patterns and anomalies that may indicate fraudulent activity, and take appropriate action to prevent or mitigate potential losses.
In an organisation, big data can help grow the business form of the answers that can be derived from the huge amounts of information available. It is critical to note, however, that data volume alone is not sufficient, but how that data is managed and utilised is equally relevant.
Big Data Analytics Services
Systems must be capable of ingesting, processing, and analysing big data. esynergy has extensive experience building scalable Data Mesh solutions for our clients. In brief, Data Mesh refers to a distributed architecture and set of principles for data management at scale. Through these principles and processes, we ensure the quality of data and ease of interoperability.
The data that is ingested and processed can be fed into Machine Learning algorithms in order to gain insights into the data and find answers that enable business growth. It is possible to unlock the power of data with these Machine Learning models if they are used correctly. esynergy has trained and built AI solutions for a UK legal organisation to scan and analyse legal documents.
By creating a more efficient process, our client was able to save a significant amount of money and time.
New technologies are making more and more data available, so the amount of big data is expected to grow exponentially. esynergy’s team of expert big data engineers can help you leverage data efficiently, increasing business growth.
Innovate with confidence by taking control of your data and technology.
Business & Technical Agility
Propel your organization's competitive ability to anticipate change, accelerate digital business and drive innovation in times of disruption.