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  • Data Sciences and Analytics

Predictive Analytics Solutions & Services

Becoming data-driven is inevitable for businesses, today. From data analytics, to recommendation engines, business intelligence, analytical reporting, the algorithmic science enables us to sift through large volumes of unstructured data to understand unexplored patterns and objectivity across disciplines. At QA InfoTech, which has so far traditionally focused on quality engineering services, we are very excited to introduce a new service line that focuses on end-to-end data science and analytics engineering to serve as a one-stop shop for all your data needs. More specifically, we specialize in data services for the e-learning, education and publishing domains.

Data Analytics for eLearning:

  • Learning Record Store (LRS), a data store system that serves as a repository for learning records necessary for using the Experience API (xAPI), is a relatively new specification for the technologies in the learning domain and we have extensive experience implementing it.
  • Caliper, another standard that we have experience with, enables the collection, storage, and transport of data about learning. It provides the information model, data structure and semantic interoperability, resulting in an improved exchange of information across applications and institutions. Caliper is narrowly focused on eLearning while xAPI is more generic.

 

LRS and Caliper Ecosystems:

The image is a graphical representation of caliper and learning record store ecosystems. The upper part of the image talks about the various components of the learning record store ecosystem. The components are records learning experiences, allowing offline or disconnected scenarios, improved access to run time data, tracking and exposing data, support for team based learning scenarios, tracking learning activities across multiple platforms and devices and support for a variety of content types. The lower part of the image talks about the various components of the caliper ecosystem. The components are constant capturing and presentations of the learning activity measures, defines a common language for labeling learning data, provides a standard way of measuring learning activities and effectiveness, leverages data science methods, standards and technologies and provides best practice recommendations to transport mechanisms.

A Quick Overview of our Experience:
LRS Caliper

Our Services:

  • Data Sciences: We offer solutions around demand planning, returns optimization, customer analytics, recommender systems, predictive maintenance and dynamic pricing. We apply the right supervised or unsupervised algorithm to your big data to come up with valuable predictions for ‘ahead of time’ decision making. Through text analytics, sentiment analysis and/or predictive data analysis, we can help our clients discover insights and consumer intelligence unavailable previously. We leverage a range of tools including Excel, R, SAS, SPSS, Weka, Orange, Spark MLlib, Mahout, MATLAB to enable us to offer data sciences services.
  • Data Engineering: The traditional ETL function still brings in its own value. Data mining, dealing with large volumes of data through techniques such as scrapping, scrubbing, querying continue to be important today. We use a range of technologies and tools, mostly open source, and also deal with a large number of databases to provide the best in quality data engineering services. Whether it is MySQL, NoSQL, Cloudera, Cassandra, MongoDB, Redshift, Snowflake, Hbase, Redis, Elasticsearch, PostgreSQL, Hadoop, MapReduce, Hive, Pig, Spark, Spark Streaming, Java, Python, Scala, Perl, etc., you have it all covered with us.
  • Data Quality: As with any other discipline, the quality and reliability of the information you deal with is very important. We provide tools and processes along with quality services to improve the quality of big data around accuracy, completeness and overall security.
  • Data Reporting: What use is any of the above without relevant, timely and actionable reports? We provide insights through visualization techniques and infographics that are ready to be consumed by varied levels of entities in an organization and immediately acted upon. Our reports are periodic, real time, auto generated, customized and intuitive. We use various tools/formats, such as Advanced Excel, Tableau, Business Objects, Microstrategy, NVD3, D3, HighCharts, PowerPoint, PDF decks, HTML, webpages, or any other format/frequency required by our clients.

Each one of the above services can be offered stand-alone or as part of the larger Data Sciences and Analytics services package.

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About QA InfoTech

Q A QA InfoTech is a C M M i CMMi Level III and I S O ISO 9001: 2015, I S O ISO 20000-1:2011, I S O ISO 27001:2013 certified company. We are one of the reputed outsourced Q A QA testing vendors with years of expertise helping clients across the globe. We have been ranked amongst the 100 Best Companies to work for in 2010 and 2011 & 50 Best Companies to work for in 2012 , Top 50 Best IT & IT-BMP organizations to work for in India in 2014, Best Companies to work for in IT & ITeS 2016 and a certified Great Place to Work in 2017-18. These are studies conducted by the Great Place to Work® Institute. View More

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Michigan, USA

  • 32985 Hamilton Court East, Suite 121, Farmington Hills, Michigan, 48334
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Toronto, Canada

  • 6 Forest Laneway, North York, Ontario, M2N5X9
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  • A-8, Sector 68 Noida, Uttar Pradesh, 201309
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Bengaluru, INDIA

  • RMZ Ecoworld, Outer Ring Road, Bellandur, Bengaluru, Karnataka, 560103
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