Data science consulting and insight services

Want to make future aligned business decisions? Real-Time Data Science Insights For Your Business

Data is new oil for the 21st Century. According to the World Economic forum by 2025 the amount of data generated each day is expected to reach 463 exabytes globally. Data science is the study of large quantities of data, which can reveal insights that help organizations make strategic choices. Data Science service is used to find solutions to problems by analyzing big or small data using appropriate tools and then tells stories to communicate findings to the relevant stakeholders. There are main 5 V’s of data science:

Velocity is the speed at which data accumulates
Volume is the scale or increase in the amount of data stored.
Variety is the diversity of the data
Veracity is quality and origin of data, and its conformity to facts and accuracy.
Value is our ability and need to turn data into value. Value isn't just profit.

Are you interested to know more on how Data Science can take your business to the next level?

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Our Expertise

Seaflux helps clients to convert the raw chunk of data into an insight derivable piece of information. Analysing the data by leveraging the advantages of Machine Learning and Qualitative Analysis helps to extract hidden information from the data, which adds value to your business. At Seaflux, we also specialize in DataOps solutions tailored to meet unique industry needs, ensuring streamlined data operations and fostering data-driven excellence.

Our team of experts support and assist you at every integral step from Data Extraction, Data Wrangling, Data Processing and Data Visualization. Deriving tangible insights accelerates your business growth and gives you a competitive advantage over your competitors.

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Where can seaflux help you for your next Data Science requirements?

Data Extraction

Gathering data from various source like relational/non-relational database, flat files, open source data and importing into data lake for review and processing

Data Wrangling

Creating structured data imported from various sources like Social media, CRM systems. Cleaning up data to have meaningful data that can be used for data processing and analyzing

Data Processing

With structured data machine learning algorithm is applied to generate meaningful insight which helps for future prediction

Data Visualization

Representing insightful information via different visualization methods like Graphs, Charts, Flow Diagrams etc to communicate with relevant stakeholders

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