With data volumes growing exponentially, most enterprises have either moved to the cloud or are headed that way. While the cloud gives you scale and low maintenance, additional variable compute costs can cut into those benefits.
Fully realizing the potential of cloud for analytics requires a high-performance BI layer that optimizes your resource utilization and mitigates unnecessary costs, helping maximize your ROI.
Join Ajay Anand, Chief Product Officer at Kyvos Insights, to learn how you can best leverage your cloud resources for optimal business intelligence.
Attend this webinar to learn:
- How you can achieve high-performance BI on the cloud
- The benefits of using Smart OLAP™ for maximizing your ROI on the cloud
- Why pre-aggregation helps optimize resource utilization
Join our upcoming webinar to see how Kyvos accelerates Tableau performance and delivers sub-second response times on trillions of data points.
You’ll learn how Tableau on Kyvos delivers:
- Interactive ad-hoc analysis on all your data
- Simplified data modeling on hundreds of dimensions and measures
- Enterprise-grade security and ease of maintenance
- High-performance on Hadoop and Cloud
- Real-life use cases of transformation in viewer analytics, financial reporting, and supply chain
Every major player in the media and entertainment industry is rethinking its content strategy to gain market share and increase customer loyalty by delivering engaging, diverse, and personalized content. With billions of records getting generated daily, these companies are struggling to analyze the most-viewed content and identify trends in viewership by tying content to different customer segments. The spike in usage means you have to work through much wider data, deeper than ever before. Traditional data warehouses cannot scale to accommodate this growing viewership data and deliver the desired BI performance.
Join our webinar to learn how Kyvos builds a BI acceleration layer on top of your cloud or on-premise data lake and lets you analyze trillions of data points in seconds using your existing BI and data science tools.
You’ll also learn from real-life use case of the world’s leading global content provider, that is using Kyvos to:
- Understand viewership behavior, patterns, trends, churn
- Deliver accurate recommendations to millions of customers based on their history and preferences
- Predict which content will work better vs. others through intersections of metrics
- Negotiate smartly with advertisers and networks as per viewership demographics
COVID-19 has had a deep impact on the supply chain of essential products with lockdowns and panic-buying. Retail chains like grocery stores, supermarkets, pharmacies, and others are facing major challenges in procuring and delivering these products to consumers. Join our on-demand webinar as we believe how we transformed Walgreens’ supply chain will resonate with the current situation.
Walgreens wanted to optimize its supply chain business strategy for over 9560 stores and thousands of suppliers. 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 were essential to support the data sharing strategy between Walgreens and their suppliers.
In this webcast, Walgreens describes how they used Kyvos and Tableau to analyze two years of historical data instantly and interactively to get deeper insights into their supply chain.
Ajay Anand, Chief Product Officer | Emmanuel Richard, Vice President
The FP&A and regulatory teams have never been as critical as today to their businesses. They are at the crossroads of two key demands:
- Support their business lines and leadership with accurate and timely indicators of their performance (P&L, general ledger, etc.)
- Respond to their regulators’ reporting requirements (Fed Reserve, SEC, proxy statements, etc.)
The traditional analytical cubes such as SSAS, TM1 or Essbase, are unable to scale with the constant growth of data to consume, and struggle to deliver acceptable performance to their users.
In parallel, IT has to deliver new data platforms on Cloud or Hadoop providing elasticity and scalability to support the scale of data financial analytics requires. There is an urgent need for a new analytical platform to achieve instant response time for queries across millions of consumer banking customers, hundreds of investment portfolios, trillions of transactions, managed across multiple countries and currencies.
Join our webinar to learn how you can transform financial analytics into a fully automated process at a fraction of the cost, setting you free to focus solely on analysis and prediction.
Emmanuel Richard, Vice President | Pranay Jain, Solutions Expert
Want to break free from cost and performance constraints of traditional analytics? Join our webinar to learn how to avoid the traps of legacy optimization (like in-memory, joins on the fly, etc.), and deploy a new generation of self-service analytics. We will also showcase some real-life use cases where our customers have achieved unrivaled performance at a fraction of the cost of their traditional platforms in a fully secure and governed environment.
Emmanuel Richard, Vice President Sales & Alliances
Hear how Adobe, Walgreens, and Barclays broke free from the cost and performance constraints of traditional analytics to build and deploy new generation of self-service analytics on their core businesses. We discussed how to avoid the traps of legacy optimization (like in-memory, joins on the fly, etc.), and how our customers manage to provide unrivaled performance at a fraction of the cost of their traditional platforms, in a fully secure and governed environment.
Financial reporting services are extremely vital to make key decisions about a business, and enterprises want to leverage all their historical data to make better-informed decisions. Watch this video where Ajay Anand, Chief Product Officer at Kyvos Insights shares how our revolutionary OLAP technology helps Fortune 100 companies instantly analyze years of data and transform their financial reporting services.
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.
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
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.
Kyvos is the world’s most powerful BI acceleration platform that delivers instant insights on trillions of rows of data, 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.
Transforming Omni-Channel Marketing Analytics on Trillion Data PointsMatt Holland, Vice President | Pranay Jain, Solutions Engineer[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]42 mins