We Automate Your Business Processes
Skyzon Big data solutions automate, accelerate, and optimize Hadoop and supporting technology ecosystems to enable agility, operational excellence, and a competitive edgeEvery two years, the volume of data in the world doubles, and by 2015, it is estimated that this volume of data will reach 7.9 Zettabytes. Unstructured data, such as text and images account for 90% of this amount. In the future, it is highly anticipated that this massive amount of data i.e. Big Data; will be used in business analytics to improve operations and to offer innovative services.Big Data is very wide in scope and its usage covers a large spectrum of applications from targeted advertisement and recommendation systems, to energy consumption estimation and smart metering.
With a wealth of experience in analytics, and a commitment to openness in developing IT infrastructure and tools, along with strong global BI deployment capabilities, SKYZON can help you unlock the business value from your Big Data.
Big Data Strategy: Validate your use cases, hear about new ones specific to your industry and discuss its feasibility and challenges.
Big Data Architecture and Technology Review: Define an architecture that meets your Big Data Strategy and Objectives, and select the right tools from a dynamically changing technology landscape.
Big Data Readiness Assessment: Before starting an actual implementation, ensure that your technologies, processes, and organization are ready.
Big Data Test Drive. hosted Big Data environment, industry leading tools, and the support of senior consultants to help identify, fine tune, and execute a Big Data use case — a solid foundation from which to promote the value of Big Data throughout your organization.
Data Science Center of Competence: Establish a Data Science practice at your organization to truly leverage the potential value of your Big Data platform.
Big Data Governance: Big Data is the Wild West. To run an effective business there, you must manage what data you allow into your system, how it is treated, and, ultimately, how you make those decisions. Data Governance is a key factor in any Big Data engagement, as it will determine your ability to manage the data into the long term.
Big Data Quality: Implement a data quality solution, or extend your existing strategy, to ensure the insight you get from your Big Data is valid and trustworthy.
Big Data Analytics: Mine newly acquired and variable data, as well as historical data for insight that is deeper, more meaningful, and more powerful than ever before.
Big Data Infrastructure: Build a platform that can respond to your Big Data needs and grow along with your organization.
Hadoop Development: Create jobs that put your new Hadoop cluster to use, leveraging Sqoop, Flume, Pig, Hive, Spark, Storm, and other relevant Big Data technologies.
Hadoop Conversion: Take existing processes leveraging expensive infrastructure and tools and convert them to leverage this powerful but cost effective platform.