n’Analytics

Data Lake services provides a robust solution to help you ingest and transform data from a variety of sources in a scalable way.

• It enables you to ingest a large number of data sources into a data lake while ensuring data lineage and provenance, thus reducing time spent wrangling.
• Our Data Lake services also allows you to utilize non-proprietary software for data ingestion, preparation, and discovery.

n’Stream is reffered as a growth management platform.

• n’Stream gives you detailed, real-time insight into how people interact with products.
• With data at your fingertips, you can iterate continuously, focus on the most impactful features, and innovate faster.
• With n’Stream you will understand your users’ behaviors much better.

n’Tag

n’Tag can be reffered as a management building a vendor-neutral and future-proof data foundation has never been more important.

With n’Tag Management you can:

• Command and control your data with robust privacy capabilities.
• Enable your company to build privacy-by-design data management programs to process customer data transparently and in accordance with new regulation and industry best practices.
• Manage and inject data definitions to your website without code.
• Serve tags faster than any other tag management solution.

n’Spider

Competitive analysis for hotels:

• It allows you to easily list your hotel’s prices and strengths, in relation to those of your competitors.
• This will help you to sharpen your positioning by taking into account the facts surrounding the current market situations.
• n’Spider provides those analyses with few clicks.
• It might even lead to the discovery of new, untapped business opportunities.

n’Reco

In a very general way, n’Reco is recommender system of which algorithms aimed at suggesting relevant items to its users.
It can consist items being movies to watch, text to read, products to buy, or anything else depending on industries.

With n’Reco you can:

• We’ve created a machine learning tool that’s marketer-friendly and data scientist powerful. 
• Create better marketing and experiences by anticipating customer behavior.
• Use predictions to target only the sweet spot of customers to drive improved performance reduced costs and operational efficiency.
• Configure your model based on your own goals then use the scores to drive action all in the same platform.

Big Data Kullanımı ve Yönetimi

We serve under perception of single, flexible, adaptive bi-directional real-time system

• Integrated data-source agnostic collection from dynamic, disparate and distributed sources
• Adaptive to fluctuating conditions of remote, distributed data sources over geographically disperse communication links in varying bandwidth and latency environments
• Dynamic, real-time data prioritization at the edge to send, drop or locally store data
• Bi-Directional movement of data, commands and contextual data
• Equally well designed to run on the small scale data sources that make up the Internet of Things as well as on large scale clusters in today’s enterprise data centers
• Visual chain of custody for data (provenance) provides real-time event-level data lineage for verification and trust of data from the Internet of Things.