Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
You can succeed in your digital transfomation and deliver applications and services faster, better, and safely.
How? With Enterprise Agile Delivery. Enterprise Agile Delivery brings a wealth of benefits to organizations and can be adopted by any Agile hybrid framework: SAFe, LESS, Nexus as well as Agile/lean frameworks like Scrum and Kanban.
Yet to achieve Eneterprise Agile Delivery, enterprises need an easy to use modern ALM tool for quick and successful onboarding. Download this white paper to understand how the right solution will help you:
• Strategiaclly align feature releases and backlogs with your overall business strategy
• Identify and prioritize dev and test activities with visibility into project waves and portfolios
• Make data-based decisons for safe releases with real-time insights and multidimensional views into delivery risks
• Sync business, dev, QA and release teams around shared objectives with automated coordination and communication
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
Experience IBM Watson Order Optimizer
How can retailers efficiently leverage inventory from one channel to serve another without breaking the bank?
See how IBM Watson Order Optimizer helps Fulfillment, Operations, and Inventory:
Gain a holistic view of omni-channel operations across different functional areas
Optimize in real-time against multiple, competing business objectives
Utilize inventory at its most profitable price point
Make better fulfillment decisions with cognitive insights
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data.
Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results.
Watch this webinar to learn how to use IBM Cognos Analytics to:
· Create the important elements of a good story
· Put the data in context
· Select the best type of ch
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT?
View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT.
With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization.
Don’t miss this opportunity to hear how you can:
* Benefit from advanced analytics without the complexity
* Operationalize insights and dashboards from a collection of trusted data sources
* Tell your story with rich visualizations and geospati
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
Constant market shifts and changing customer preferences add to the challenge of
outperforming your competitors and surpassing stakeholder expectations. But what
can be done to steer your organization down the path to greater success?
By now, we all know it’s not just historical reporting about the past that will provide the
answers needed to drive a business forward. Everyone – from executives and analysts
to frontline staff – must have access to insights about the future that will enable them to
make the best decisions and take the actions needed to keep their organizations agile.
This means the ability to peer into data, explore it, understand it, analyze it and produce
insights that provide those aha moments and take actions on it. Such things cannot be
done with multiple tools that are rigid, limiting and difficult to use. A new breed of
business intelligence is required.
Gone are the days when reports looked at singular issues, took possibly days or weeks
to create, and required
In Q4, 2009, ENTERPRISE MANAGEMENT ASSOCIATES (EMA) analysts worked with ASG to research how executives in IT and within the lines of business use dashboards to gain holistic insights into IT services as they impact business outcomes.
Published By: Adverity
Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC).
It's full of inspiration, useful tips and actionable insights for you to step up your marketing game.
In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal:
Knowing what data to capture
Understanding customer behaviour
Finding your technology solution
Ensuring analysis is impartial
Optimising website content - especially for your offline users
Published By: Adverity
Published Date: Jun 15, 2018
Master Your Client's Data To Build An Advertising Agency For The Future
This is the first part of our ebook Strategic Playbook For Data-driven Advertising Agencies. In this instalment we cover how agency executives can benefit from their client's data to maintain a sustainable, future-proof business in times of digital transformation.
Scaling your business with Marketing Intelligence
Building a data strategy to stay ahead of the curve
Mastering the end-to-end data management process
Once you decide to master your data, you will be rewarded with deep, meaningful insights and happy long-term clients that get the most out of their data. We know it’s worth it!
Signup and download the 28-page pdf-document to understand how data will secure your spot in the future advertising industry.
As of May 25, 2018, organizations around the world—not just
those based in the EU—need to be prepared to meet the
requirements outlined within the EU General Data Protection
Regulation (GDPR). Those requirements apply to any
organization doing business with any of the more than 700
million EU residents, whether or not it has a physical presence
in the EU.
IBM® Security can help your organization secure and protect
personal data with a holistic GDPR-focused Framework that
includes software, services and GDPR-specific tools. With
deep industry expertise, established delivery models and key
insights gained from helping organizations like yours navigate
complex regulatory environments, IBM is well positioned to
help you assess your needs, identify your challenges and get
your GDPR program up and running
If you thought HPC solutions are only useful for research or academia, think again! Lenovo HPC solutions, powered by Intel® technology, can be specifically built and optimized for your business needs. They can help to accelerate innovation, whether it’s precisely modelling a new drug, driving simulations to improve manufacturing, improving the efficiency and success rate of explorations, achieving greater manufacturing efficiency, or gaining new insights into IoT data. This best-practice guide will help you evaluate and consider the best approach to adopt HPC for your business needs, as well as the solution components to be considered in its implementation.
Get the eBook.
Unlock the benefits of Ethernet – An Expert Q&A Guide provided by Spectrum Enterprise. Find out how technology experts are using reliable Ethernet solutions to boost business performance. Get actionable insights from experts and learn how switching to a high-performance Ethernet solution from Spectrum Enterprise can deliver security and reliability across your network and IT infrastructure.
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.