A data warehouse is only sufficient to hold data in hierarchical form. Data lake offers flat storage schemes which holds every data type in the same repository.
The similar datasets can be grouped together to further improve the decision making process. A robust statistical analysis coupled with AI algorithms enables this data aggregation.
Reliability and validity are two of the most significant properties of data. Extraction ensures reliable data sources while cleansing provides removal of corrupted entries.
The output of big data modeling is only as good for non-technical management as its visualization. You need extensive dashboards with charts and graphs to enhance output visibility.
A comprehensive machine learning suite for anomaly detection ensures the discovery of frauds and intrusions. These tools also assist in identifying invalid datasets.
Integration of big data technologies within websites and mobile apps prevent a massive amount of work. The only condition is the careful customization of frameworks to business needs.
An extensive fintech ecosystem comprising a wide-ranging technological landscape, regulatory bodies, and financial institutions are collectively realigning the financial services.
The hegemony of traditional media is drastically declining amid swift emergence and tech developments in digital media industry.
The technologies and gadgets over time helped healthcare sector to improve operational efficacy. Our research in AI and big data remains vital in such tech advancements.
We help startups in facilitating the development of disruptive technologies and in attaining sustainability with growth hacking techniques.
We develop innovative mobile apps with powerful functionality and intuitive user experience. So get quality apps in short time.
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