How Cloud BI Powers Today&#x27;s Agile Enterprise

Building a data platform tnt

Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/ptQMW7 What matters the most for analysts and decision makers is finding the right data within seconds. Data virtualization incorporates a rich metadata catalog and graphical interface for the self-service users In this session, you will learn: • How to discover, search, explore, curate and share trusted data assets in a governed manner • How to view and utilize the complete lineage of data assets • Ways to infer patterns in data and metadata This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...

Neo4j

Denodo DataFest 2016: Metadata and Data: Search and Exploration

The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.

The State of Big Data Adoption: A Glance at Top Industries Adopting Big Data ...

Datameer

The Journey to Success with Big Data

Cloudera, Inc.

Open Source Ecosystem Future of Enterprise IT

andreas kuncoro

Self-Service Analytics

June Dershewitz

Accenture Big Data Expo

"Hadoop 2015: What we’ve learned in 5 years", Martin Oberhuber, Senior Data Scientist at ThinkBig YouTube Link: https://www.youtube.com/watch?v=odOTsGgfzm8 Watch more from Data Natives 2015 here: http://bit.ly/1OVkK2J Visit the conference website to learn more: www.datanatives.io Follow Data Natives: https://www.facebook.com/DataNatives https://twitter.com/DataNativesConf Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2016: http://bit.ly/1WMJAqS

"Hadoop: What we've learned in 5 years", Martin Oberhuber, Senior Data Scient...

Dataconomy Media

Rethink Analytics with an Enterprise Data Hub

Cloudera, Inc.

Watch the full webinar here: http://bit.ly/1Yqr5Lz Companies are seeking ways to leverage big data and analytics to improve business operations or create new revenue streams. But where do you begin? Join Janet George, SanDisk Chief Data Scientist, as she shares the biggest challenges companies face when first analyzing their data, common mistakes and 5 tips on how to build a successful big data strategy.

5 Tips to Building a Successful Big Data Strategy

Western Digital

Roadmap to data driven advice michael goedhart 1v0

Big Data – From Strategy to Production

Semantic Web Company

London Jaspersoft Community User Group Event 2 KETL presentation

KETL Limited

Walmart Big Data Expo

When CSC needed to establish a marketing engine that would not only create brand awareness for the company, but also allow them to track the value and path of a lead as it traveled through the buyer’s journey, their greatest challenge was data centralization. Regional marketing and sales teams were using disparate automation and CRM tools, resulting in poor communication and overlap. And without a single source of truth, there were no shared KPIs by which to measure the effectiveness of their efforts.

Tendances (20)

Multi Cloud Data Integration- Retail

Big data and bi best practices slidedeck

Jaspersoft 6.2

Data is cheap; strategy still matters by Jason Lee

Bde presentation dv

Building a data platform tnt

Knowledge Graphs for Transformation: Dynamic Context for the Intelligent Ente...

Denodo DataFest 2016: Metadata and Data: Search and Exploration

The State of Big Data Adoption: A Glance at Top Industries Adopting Big Data ...

The Journey to Success with Big Data

Open Source Ecosystem Future of Enterprise IT

Self-Service Analytics

Accenture Big Data Expo

"Hadoop: What we've learned in 5 years", Martin Oberhuber, Senior Data Scient...

Rethink Analytics with an Enterprise Data Hub

5 Tips to Building a Successful Big Data Strategy

Roadmap to data driven advice michael goedhart 1v0

Big Data – From Strategy to Production

London Jaspersoft Community User Group Event 2 KETL presentation

Walmart Big Data Expo

En vedette

Giving a New Meaning to Data Transformation - A CSC Case Study

Lowe Profero’s teams were finding themselves spending multiple days a week on client gathering, organizing and reporting on volumes of data from myriad sources in bulky Excel spreadsheets and manually-assembled PowerPoint presentations. That time would have been better spent on strategic work. And knowing that data sources and volume could only multiply given the increasingly digital nature of the marketing landscape, they knew it was time to take preemptive action.

Building Digital Brands with Data Insights - A Lowe Profero Case Study

Sending the Right Message with Data-Driven Sales Automation

SendGrid, a cloud-based email delivery service for transactional email management, needed a better way to support their top organizational goal of promoting customer success. Critical information was being stored in more than 5 different systems, creating up to 8 hours a month in manual Excel labor. The team realized that it was critical to integrate these data sources in order to create a single source of truth for customer insights.

Delivering Customer Success with a Single Source of Truth - A SendGrid Case S...

As a growing company, Redbubble was creating an abundance of data that spanned across all areas of their organization. The challenge of unearthing that data to extract the insights that were essential to maintaining the positive trajectory of their business was daunting and time consuming. The team was burning more hours cleaning up the data than using it to make decisions, and realized it needed a solution.

Data-Driven Decision-Making for a Creative Industry - A Redbubble Case Study

Discovery Communications, the world’s #1 pay-TV programmer reaching nearly three billion cumulative subscribers in more than 220 countries and territories, was managing an unsustainable model of digital analytics reporting. Supporting no less than 20 internal groups with more than 40 data sources, the team was manually providing custom reports to meet individual needs, as well as executive reports and dashboards to evaluate overall performance. Param Ghangas, Director of Analytics, began the search for an analytics partner with the capabilities, scale and expertise needed to unite their many disparate data sources into a single view, allowing her team to spend less time on reporting and more time delivering insights across platforms and channels.

Tuning Channels: Analytics for a Media Leader - A Discovery Case Study

With 12 years of repair and maintenance data from more than a million tradesman across over five dozen countries, ServiceChannel, a cloud-based facilities management platform, was missing out on a tremendous opportunity to provide value to their customers. They needed a way to deliver powerful analytics to their customers without shifting their engineering focus away from innovating on their platform.

ServiceChannel Fixes an Entire Industry with Analytical Insight

What's So Great About Embedded Analytics?

Before partnering with GoodData, Brand Integrity used proprietary reports within their platform to measure the success and effectiveness of the programs that drive employee engagement. But when their clients needed better data visualization to enhance their decision making, the in-house reporting capabilities did not meet expectations. So Doug Bennett, SVP of Technology and Operations at Brand Integrity, and his team set out to find an expert analytics partner to provide both a rich BI platform and industry best practices to help their clients better view, slice and dice, and analyze their engagement data to improve decision making.

Brand Integrity: Motivating Employees to Deliver to Brand Expectations

Established in 2002, MediGain is a full-service revenue cycle management company, providing IT solutions and professional services to medical practices, clinics, hospitals and other specialty providers to help them navigate an increasingly complex reimbursement environment. With more than 1,000 employees, three quarters of which provide services including medical billing, coding, collections, financial analysis, and more--MediGain knows their way around numbers. So, in 2012, after a recent acquisition had prompted the company to evaluate their lines of business, they took a hard look at the numbers in their BI department--and immediately knew it was time to make some changes. Hobbled with a legacy on-premise analytics system, MediGain’s 18 person BI team was struggling to produce reports for clients that kept pace with company and client expectations. Without the ability to automate reporting, team members were limited to producing ad hoc manual reports on a monthly basis--leaving them prone to error and slowing clients’ ability to take action on the data. The numbers didn’t lie, their current model wasn’t scalable or sustainable.

Delivering Big Gains to Medical Providers with Analytics - A MediGain Case Study

Recognizing that their call center solution's benefits could extend way beyond operational and cost efficiencies, the Bolder Thinking team looked to give customers real-time access to analytics on call center performance, something no other provider was offering. They needed a tool that allowed them to empower the operators, supervisors, and call center managers to (1) get quick access to data, (2) to do ad hoc reporting on the fly themselves, and to (3) significantly reduce their time to insight.

Innovative Insight Answers the Call - A Bolder Thinking Case Study

Most companies focus on the technical challenges involved with bringing new analytics and business intelligence capabilities to market and overlook key go-to-market considerations. With over 7 years experience helping our customers launch 100+ successful products in a variety of industries, GoodData has developed a proven methodology for taking analytics to market. We’ve partnered with NextWave Performance to share our top five strategies that will secure your successful launch. In this 1-hour session, experts from NextWave and GoodData discuss taking an analytics product to market and teach you how to: - Gain competitive advantage - Build a comprehensive plan that avoids common mistakes - Monetize your data!

5 Proven Strategies For a Successful Analytics Product Launch

Calculating the ROI on investing in data products? Analytics return $13.01 for every dollar spent, according to Nucleus Research. That’s a 13:1 ROI for you, and for your customers when you offer embedded analytics in your SaaS solution. Check out this guide to learn more about the benefits of buying vs. building, and how GoodData customers like Influitive and Demandbase are achieving upwards of 650% ROI.

What's the ROI of Embedded Analytics?

Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of: 1. How embedded analytics can help you differentiate in a crowded SaaS market 2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation 3. How you can practice agile revenue development, monetizing the data you already have within your core application 4. The unique benefits of becoming a Powered by GoodData embedded analytics partner 5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors

Monetize Data with Embedded Analytics

Measure Marketing's Influence on Revenue With Attribution Models

Tis is the season to be jolly, and at GoodData, there is holiday cheer everywhere! From Brno to Boston, Portland to Prague to San Francisco, we are making the season bright… Reflecting on the year our CEO Roman Stanek said “2015 was about staying true to the GoodData DNA and our culture that is defined by the amazing spirit of our teams ” He also shared his favorite quote from Ben Horowitz’s book The Hard Things about Hard Things “Building a company is not easy ...While we are far from perfect we are jolly about a few things and wanted to take a moment to thank our incredible GoodFamily, and look back on what made 2015 a year to remember!”

12 Days of GoodFamily

Watch full webinar here: https://bit.ly/37YkgN4 This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises. These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise. During the session we'll address: - What is a data-driven enterprise? - What are the critical success factors? - What are companies doing to create a data-driven enterprise and why? - What progress are they making? - What are the plans on people, process and technologies? - Why is data virtualization central to provisioning and accessing data in a data-driven enterprise? - How should you get started?

En vedette (16)

Giving a New Meaning to Data Transformation - A CSC Case Study

Building Digital Brands with Data Insights - A Lowe Profero Case Study

Sending the Right Message with Data-Driven Sales Automation

Delivering Customer Success with a Single Source of Truth - A SendGrid Case S...

Data-Driven Decision-Making for a Creative Industry - A Redbubble Case Study

Tuning Channels: Analytics for a Media Leader - A Discovery Case Study

ServiceChannel Fixes an Entire Industry with Analytical Insight

What's So Great About Embedded Analytics?

Brand Integrity: Motivating Employees to Deliver to Brand Expectations

Delivering Big Gains to Medical Providers with Analytics - A MediGain Case Study

Innovative Insight Answers the Call - A Bolder Thinking Case Study

5 Proven Strategies For a Successful Analytics Product Launch

What's the ROI of Embedded Analytics?

Monetize Data with Embedded Analytics

Measure Marketing's Influence on Revenue With Attribution Models

12 Days of GoodFamily

Similaire à How Cloud BI Powers Today's Agile Enterprise

Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making

Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet. Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva. Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”. Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt. På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query. Under eventet berördes följande punkter: - Big Data och Business Intelligence (BI) - “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång - Google Cloud Platform och hur man genomför en framgångsrik molnsatsning Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.

Tdwi austin simplifying big data delivery to drive new insights final

Sal Marcus

Connecta Event: Big Query och dataanalys med Google Cloud Platform

ConnectaDigital

Multi Cloud Data Integration- Manufacturing Industry

alanwaler

The Briefing Room with Barry Devlin and Composite Software Live Webcast May 21, 2013 All good things must come to an end, and even though the data warehouse will remain a prominent force in the information age, the handwriting is all over the enterprise: the center of gravity is moving. Whether due to Big Data or real-time demands, Cloud computing or globalization, today's leading organizations have analytical needs that the warehouse simply cannot accommodate. That's why data virtualization continues to attract attention. Register for this episode of The Briefing Room to hear veteran Analyst Barry Devlin explain why the traditional model for data warehousing is being outmoded by a range of more flexible methods for accessing and analyzing information assets. He'll be briefed by David Besemer of Composite Software who will discuss how his company's data virtualization platform can be used to provide access to all manner of information sources, including data warehouses, Big Data silos, as well as partner and public data sources on demand. Visit: http://www.insideanalysis.com

Where the Warehouse Ends: A New Age of Information Access

Inside Analysis

Best Practices for Embedding Analytics by GoodData Product Leader

Product School

Data monetization webinar

Karan Sachdeva

Watch full webinar here: https://bit.ly/3lSwLyU En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos. La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos. Le invitamos a participar en este webinar para aprender: - Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información. - Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección. - Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.

Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...

Watch this webinar in full here: https://buff.ly/2MVTKqL Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy. Attend this session to learn why data virtualization: • Is a must for implementing the right self-service BI • Makes self-service BI useful for every business user • Accelerates any self-service BI initiative

Self-Service Analytics with Guard Rails

The Fast Fish Forum is an opportunity for challengers of convention and drivers of progress to come together for the benefit of South African business and society. The forum consists of purposeful, committed and open-minded people across industries, organisations and roles who collaborate and learn together; creating a critical mass that drives innovative change in our country. At the second event, held at the BSG offices on 16 November 2016, we discussed two highly topical subjects: 1. Enhancing customer value using big data and actionable insights. 2. Driving innovation through customer insights. To find out more and join the conversation follow us @FastFishForum and http://bit.ly/fastfishforum.

Fast Fish Forum 16 November 2016

BSGAfrica

Analytics in a Day Virtual Workshop

CCG

Big Data – wie aus Daten strategische Resourcen und Ihr Wettbewerbsvorteil we...

IBM Switzerland

BIG Data & Hadoop Applications in Finance

Skillspeed

Klarna Tech Talk - Mind the Data!

Jeffrey T. Pollock

Mcdonalds Deck

Conrad23

Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...