Watch our video where Ajay Anand, Chief Product Officer, Kyvos Insights shares how Kyvos integrates with MicroStrategy to deliver fastest insights on huge amounts of data stored on the cloud or on-premise environments. In this talk, we will showcase how Bell Canada scaled their BI exponentially to 10K+ users across the enterprise using MicroStrategy on Kyvos.
Tableau has disrupted the BI market by delivering brilliant visual analytics across enterprises. The new challenge for Tableau users is to bring this brilliance to the consumption of their massive data with no compromise on performance.
Kyvos is already helping thousands of Tableau users to interact with their data lakes at the speed of light, both on the cloud and on-premise.
Attend our webinar to learn how Kyvos supercharges Tableau performance by creating a BI acceleration layer on data lakes and enables instant access to massive data. With this layer in place, Tableau connects to Kyvos, achieving high-performance, irrespective of the size of your data.
In this webinar, based on a real-life use case, you will learn how our next-generation OLAP technology helps you:
• Use Tableau to analyze massive data on the cloud and on-premise platforms
• Get instant responses to Tableau queries even on trillions of rows of data
• Eliminate extracts and data movement
Being one of the largest retail pharmacy chains in the world, Walgreens wanted to leverage their data to optimize supply chain business strategy. To be able to achieve the use cases that will improve supply chain efficiency and reduce inventory costs, there is a need to process 284 billion rows of inventory data and sales data from over thousands of suppliers and 9560 stores. Their current systems were strained while dealing with the scale and cardinality of their data, and could not provide timely insights to thousands of suppliers and business users. The visualizations are essential to support the data sharing strategy between Walgreens and their suppliers. In this webinar, Walgreens will describe how they use Kyvos and Tableau to analyze two years of historical data instantly and interactively to get deeper insights into their supply chain.
Neerav Jain - Technical architect, Walgreens and Anne Cruz - IT Manager, Walgreens
Walgreens, one of the largest retail pharmacy chains in the world, wanted to leverage its data to optimize supply chain business strategy. But to achieve the use cases that improve supply chain efficiency and reduce inventory costs, it first needed to be able to process 284 billion rows of inventory data and sales data from over 20,000 suppliers and 9,000 stores. Current systems were strained while dealing with the scale and cardinality of the data and couldn’t provide timely insights to thousands of suppliers and business users.
Neerav Jain, Vikas Hardia, and Anne Cruz describe how they used Kyvos and Tableau to transform Walgreens’s supply chain with instant, interactive analysis on two years of historical data instantly and interactively to get deeper insights into their supply chain.
Market leader Verizon proactively adopts new technologies that keep the company ahead of the game. With massive data flowing in at high speeds, it built a high-performing BI platform with Kyvos that delivered instant reporting on big data across the enterprise. However, the breakthrough came when the company used Kyvos to enable real-time artificial intelligence and machine learning to identify friction points, detect anomalies on the fly, and fix issues instantly. Latheef Syed explains how Verizon utilizes Kyvos as a next-generation analytical platform that delivers real-time AI, ML, and BI.
Forrester VP & Principal Analyst, Boris Evelson and Kyvos Insights VP Products, Ajay Anand
As part of the journey to become an insights-driven business, enterprises need to modernize their BI technology and architecture. They need to constantly strive to turn more data into actionable insights that drive tangible business outcomes. One of the key success factor is cloud based data lake which provides highly scalable and elastic foundation for a modern enterprise BI platform. Cloud data lakes are the most transformational of modern technologies, revolutionizing how organizations store, manage, and scale up and down their big data infrastructure. With more and more enterprises moving to cloud for efficiency, reliability, and reduced costs, it is destined to shape the future of enterprise BI.
Join our webinar where guest speaker Forrester Vice President and Principal Analyst Boris Evelson and Kyvos Insights VP Products & Marketing, Ajay Anand discuss:
• Trends that will shape the future of BI
• Benefits and challenges of moving BI to the Cloud
• Best practices for implementing BI in the Cloud
Walgreens Team: Anne Cruz- Manager - Supply Chain Technology; Mahek Parikh- Data Scientist; Neerav Jain- Technical Architect
Being one of the largest retail pharmacy chains in the world, Walgreens wanted to leverage their data to optimize supply chain business strategy. To be able to achieve the use cases that will improve supply chain efficiency and reduce inventory costs, there is a need to process 284 billion rows of inventory data and sales data from over 20,000 suppliers and 9,000 stores. Their current systems were strained while dealing with the scale and cardinality of their data, and could not provide timely insights to thousands of suppliers and business users. The visualizations are essential to support the data sharing strategy between Walgreens and their suppliers. In this talk, Walgreens will describe how they use Kyvos and Tableau to analyze two years of historical data instantly and interactively to get deeper insights into their supply chain.
Ajay Anand, VP Products & Marketing at Kyvos Insights
Most enterprises today are moving or planning to move their Big Data and applications to the cloud. Cloud not only enables anytime, anywhere access to data, but also offers the benefits of scalability, elasticity, high availability, cost optimization, and more. However, just moving your data to the cloud does not ensure that you will reap all its benefits. The next step should be to move analytics to the cloud and ensure that it is as elastic as the cloud platform itself.
With our latest release Kyvos Version 5, you can build an agile, elastic, and high-performing BI on Big Data platform that helps you achieve sub-second response times on trillions of rows of data both in the cloud and on-premise Big Data platforms.
Join our upcoming webinar to learn how Kyvos 5 can help you:
• Transform BI on Big Data in the cloud
• Achieve high performance with next Generation OLAP designed for Big Data
• Perform smarter analytics with advanced data profiling
• Prioritize analytics for business-critical functions
• Create enhanced visualizations and better collaboration
Mark Huang, Director - Data Engineering at Bell Canada and Ajay Anand, VP Products & Marketing - Kyvos Insights
Like all telecommunication giants, Bell Canada relies on huge volumes of data to make accurate business decisions and deliver better services. They use BI tools such as MicroStrategy and Tableau to build dashboards and reports that provide actionable insights on key KPIs.
However, as their data began to reach Big Data proportions, they started facing technological challenges delivering growing business reporting demands. They knew they had to bring in some architectural changes to meet their business team’s requirements of interactive slicing and dicing.
In this session Big Data leadership from Bell Canada will present why they chose OLAP on Hadoop technology to achieve multi-dimensional analytics.
They will discuss:
- Why adopting OLAP on Hadoop was mission critical for their business teams
- How they exponentially increased the volume and time span of the data they could analyze
- How this new architecture delivers fast performance even with large numbers of concurrent users
Arun Jinde - Technical Architect at Verizon and Ajay Anand, VP Products & Marketing - Kyvos Insights
With increasing competition and complicated customer needs, companies have to explore innovative ways to deliver personalized experiences and stay ahead in the game.
Verizon, one of the world’s largest telecommunications company, has set the benchmark by building a massive multi-dimensional cube to analyze viewership data from its 6 million subscribers, across mediums, viewers, and geographies, and use these insights to power their marketing decisions and enhance customer experiences.
Join this webinar to learn how Kyvos helped Verizon solve the problems of speed and scale with OLAP and achieve instant BI on Big Data. You’ll also learn how they:
•Built a cube with 168 billion fact rows and almost 10 terabytes of raw data
•Enabled instant analysis across 38 dimensions in less than a second and achieve instant BI on Big Data
•Improved their ability to respond to network, content and customer demands
Andrew Brust, Analyst - Gigaom Research and Ajay Anand, VP of Products & Marketing - Kyvos Insights, Inc.
More and more organizations are moving their Big Data to the Cloud for agility, elasticity and efficiency. Although this shift has made data storage more cost-effective, many organizations are still struggling when it comes to consuming this data to deliver business results.
Is your organization leveraging its cloud investments to get actionable insights? Are your business users empowered to answer their own questions? Do your existing BI tools perform on data at scale?
Do you want to learn how you can enable your existing BI tools to work seamlessly with Big Data irrespective of whether it is on the cloud or within the premise?
Whether you are planning to move or have already moved your data to the cloud, this webinar will help you understand and solve the challenges associated with BI on Big Data on the Cloud.
You will learn how you can:
•Create a seamless architecture for BI in the Cloud
•Deliver Self Service BI at any Scale
•Transform your business with Big Data Analytics: Real-world use cases
Yogesh Joshi, Head Of Big Data and Analytics at AIG, Ajay Anand, VP Products & Marketing at Kyvos Insights, Inc.
Watch our video featuring, Yogesh Joshi, Head of Big Data and Analytics, AIG and Ajay Anand, VP Products & Marketing at Kyvos Insights, Inc. where they discuss if OLAP is still relevant in the age of Big Data and showcase various methods for performing iterative, interactive analytics on Hadoop.
Praveen Kankariya, CEO - Kyvos Insights, Inc. and Ajay Anand, VP Products of Kyvos Insights
Watch this video where our CEO - Praveen Kankariya and Ajay Anand, VP Products of Kyvos Insights talk with John Furrier & George Gilbert from Silicon Angle during Hadoop Summit 2016. They discuss how Kyvos is making Big Data accessible, interactive and profitable for businesses worldwide.
Vineet Tyagi, CTO, Impetus and Ajay Anand, VP Products, Kyvos Insights, Inc.
Watch this video where we present a blueprint for implementing a modern data warehouse. You can now make migrating from the EDW to Hadoop less risky and delivers faster, cost efficient analytics on your Big Data.
Praveen Kankariya, CEO - Kyvos Insights, Inc. and Ajay Anand, VP Products of Kyvos Insights
Watch this video where our CEO - Praveen Kankariya and Ajay Anand, VP Products of Kyvos Insights are in a conversation with John Furrier, Editor-in-Chief of Silicon Angle at the Hadoop Summit 2015 where they discuss how Kyvos is revolutionizing Big Data Analytics for enterprises by giving them instant access to data at scale.
Watch this video where our CEO delivers an insightful session at the DataWorks Summit 2018, where he explores the importance of having a unified clear and present view of your enterprise data. He also reinstates why a unified view is at the foundation of becoming truly data-driven and enter into the intelligent AI-driven future.
Business intelligence (BI) has been at the forefront of business decision-making for more than two decades. Then along came Big Data and it was thought that traditional BI technologies could never handle the volumes and performance issues associated with this unusual source of data.
So what do you do? Cast aside this critical form of analysis? Hardly a good answer. The better answer is to look for BI technologies that can keep up with Big Data, provide the same level of performance regardless of the volume or velocity of the data being analyzed, yet give the BI-savvy business users the familiar interface and multi-dimensionality they have come to know and love.
This webinar will present the findings from a recent survey of Big Data and the challenges and value many organizations have received from their implementations. In addition, the survey will supply a fascinating look into what Big Data technologies are most commonly used, the types of workloads supported, the most important capabilities for these platforms, the value and operational insights derived from the analytics performed in the environment, and the common use cases.
Attendees will also learn about a new BI technology built to handle Big Data queries with superior levels of scalability, performance and support for concurrent users. BI on Big Data platforms enables organizations to provide self-service and interactive on big data for all of their users across the enterprise.
Praveen Kankariya, CEO - Impetus Technologies, Inc. and Ajay Anand, VP Products & Marketing - Kyvos Insights, Inc.
Complex and fragmented data systems make it challenging to define a 'single source of truth' for data that provides a comprehensive single view of the enterprise. Enterprises are pushing for higher levels of data integrity that can drive business insights quickly and easily up and down and across the enterprise.
Is it possible to achieve a single source of truth across the enterprise? Or is it just an expensive myth? Is the path easy? Or is it a never-ending journey?
To get answers to these questions, join our upcoming webinar where we will present a roadmap to:
• Data and workload migration to a cloud or an on-premise big data warehouse using automation
• Building an enterprise BI consumption layer
• Delivering self-service and interactive insights on big data
Who should attend:
- Business leaders looking to break down data silos, reduce costs, and optimize business processes.
- IT leaders looking to provide a scalable architecture, eliminate vendor lock-in, and increase analytical flexibility for business users, analysts, and data scientists.
Ajay Anand, VP – Products & Marketing at Kyvos Insights, Inc.
Kyvos delivers self-service, interactive BI at massive scale with response times 100x faster than other SQL on Hadoop solutions. Our breakthrough technology lets business users visually explore all their data, interact with it effortlessly, and derive meaningful insights instantly to make informed business decisions.
Kyvos offers native compatibility with all leading BI tools, Cloud platforms, and Hadoop technologies.
Watch our recent webcast to learn how Kyvos delivers unmatched levels of scalability and performance for enterprise-wide deployments. It also highlights the new features and enhancements that we are introducing with Kyvos 4.0.
What’s new in Kyvos 4.0:
* Scale-out architecture for increased user concurrency
Kyvos is the world’s most powerful BI acceleration platform that delivers instant insights at petabyte scale, both on the cloud and on-premise data lakes. Our breakthrough OLAP technology revolutionizes analytics by enabling users to visualize, explore, and analyze massive volumes of data with sub-second response times. With the mission to transform businesses through innovations in analytics, we enable enterprises to make faster and more accurate decisions. Headquartered in Los Gatos, California, Kyvos Insights was formed by a team of veterans from Yahoo!, Impetus and Intellicus Technologies.
BI on Big Data with instant response times at VerizonArun Jinde - Technical Architect at Verizon and Ajay Anand, VP Products & Marketing - Kyvos Insights[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]31 mins