Identify gaps, identify business's needs, identify opportunities for improvement, identify current technology, etc.
DataOps & DevOps
DataOps & DevOps
DataOps & DevOps
DataOps & DevOps
Based on best practices and customer requirements.
Our approach is best on best practices and based on the customer’s specific requirements and needs.
We do more in less time. We keep it simple and straight forward.
It’s all about making sense of the data.
How Amantis Analytics adds value!
To perform data analytics, you will need to gather and organise data, clean and preprocess it as needed, and then use statistical and visualisation techniques to analyse and interpret the data. Depending on the specific business requirement, you may also need to build models or use machine learning algorithms to make predictions or recommendations based on the data.
Some common tools and technologies used in data analytics include:
Programmin Languages
Programming languages (e.g., Python, Java, SQL, C/C++, R)
Business Insights
Data visualisation software (e.g., Tableau, QlikView, Power BI)
BigData ETL/ELT
Data management and storage systems (e.g., DWHs, databases, data lakes, batch, streaming, etc.).
Cloud
Cloud computing platforms (e.g., Amazon Web Services, Google Cloud Platform, Azure)
Experienced consultants on Saas and DaaS. Now days the importance of becoming a data driven organisation is crucial. Data analytics can provide numerous benefits to businesses and organisations, including:
Data can be used to gain insights into customer behaviour, preferences, and needs, which can inform marketing and product development strategies.
Data can be used to identify and mitigate potential risks, which can help organisations avoid costly mistakes and protect their reputation.
AI can perform tasks faster and more accurately than humans, allowing businesses to save time and resources and AI systems can be trained to recognise patterns and make decisions based on data, leading to more accurate results.
BigData Analytics and AI can analyse large amounts of data and provide insights and recommendations to support better decision-making and By providing businesses with the ability to analyse large amounts of data and identify trends and patterns, AI can support the development of new products and services.
By automating routine and repetitive tasks, AI can free up human workers to focus on more creative and strategic work, increasing productivity and By automating tasks and improving efficiency, AI can help businesses reduce costs.
Why your organisation should adopt AI & become a data-driven organisation. Predictions:
We are specialised in a broad range of industries and Remote work worldwide, also known as telecommuting(remote) which can provide numerous benefits to both employees and employers.
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