IBM Big Data Hub
OCTOBER 3, 2017
Companies have a choice when it comes to their strategy for data governance. Aberdeen research shows that it can be onerous and bureaucratic, or it can be liberating and empowering.
Data Science and Beyond
OCTOBER 15, 2017
Aspiring data scientists and other visitors to this site often repeat the same questions. This post is the definitive collection of my answers to such questions (which may evolve over time). How do I become a data scientist? It depends on your situation. Before we get into it, have you thought about why you want to become a data scientist? Hmm… Not really.
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Bruno Aziza
OCTOBER 11, 2017
A wave of financial services innovation and disruption possesses serious potential to unsettle perhaps the most traditional and central industry in our economy.
Mark Raskino
OCTOBER 1, 2017
Before we get into this important issue I have to declare a disinterest. I’m not a cloud analyst at Gartner. I don’t cover the vendors or their offerings. I can’t tell you which one is best under different circumstances. I have many colleagues who can help you with those decisions. What I do know is this – deciding which cloud(s) your company will become reliant on is a strategy question that cannot be left to technical thinkers alone.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Smarten
OCTOBER 25, 2017
The Next, Even Better Gift: Advanced Data Discovery Tools! Have you ever noticed that when you give someone something, they often want more? This is especially true when they really like what you gave them! As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential.
DataRobot Blog
OCTOBER 9, 2017
Excel has long been the tool for business analysts to perform lightweight data preparation tasks – identifying outliers and errors, aggregating values, and combining data into one spreadsheet for analytics. However, all too often, business users waste time using Excel to manually profile and process data. Truth is that Excel is inadequate for enterprise projects that comprise large-scale data sets, involve group collaboration, and require data accuracy in a short amount of time.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Data Science and Beyond
OCTOBER 15, 2017
Aspiring data scientists and other visitors to this site often repeat the same questions. This post is the definitive collection of my answers to such questions (which may evolve over time). How do I become a data scientist? It depends on your situation. Before we get into it, have you thought about why you want to become a data scientist? Hmm… Not really.
Bruno Aziza
OCTOBER 20, 2017
Autonomous vehicles won’t just change the way we get around; they have the potential to redefine the landscapes of our cities in dramatic ways.
Mark Raskino
OCTOBER 27, 2017
It was nineteen-eighty-something. “ Information technology, is a societal, epochal technology ” said my university lecturer, quoting a translated Japanese author (that made the insight seem even more wise and visionary). Like … wow man. Decades later I find it helpful to reconsider the 60 to 80 year journey that historians call the ‘information age’ It’s not ivory tower thinking, it can be very enlightening for business and IT executives as they grapple with q
Paris Technologies
OCTOBER 18, 2017
In most data analytics projects, much focus is put on the tools that need to be implemented. Understandably so, since choosing the right tools for your organization’s BI stack is crucial in defining the data analytics process. Not to mention, the cost of such tools needs to be considered. However, tools are just half of […].
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
ScienceSoft
OCTOBER 5, 2017
With banking analytics software, banks can predict customer behavior, anticipate future events, and gain new insights that improve cross-selling.
IBM Big Data Hub
OCTOBER 24, 2017
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
Cloudera
OCTOBER 17, 2017
Deep learning is in the news. It’s changing the game. It’s changing your life. It’s changing everything. It will change the world. It’s good to see people excited about technology. But deep learning is a tool that enterprises use to solve practical problems. Nothing more, and nothing less. In this blog, we provide a few examples that show how organizations put deep learning to work.
Bruno Aziza
OCTOBER 31, 2017
Today, Girls Who Code is a national organization that has helped 40,000 girls learn fundamental computer science skills.
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Information Builders
OCTOBER 18, 2017
Loyola University Boosts Academic Ranking and Boosts Student Retention With WebFOCUS. Pervasive Analytics Tools Help Faculty and Staff Maximize Educational Experience. Loyola University Chicago has standardized on Information Builders’ WebFOCUS business intelligence (BI) and analytics platform to access, analyze, and share insights among its 4,000-member faculty and staff.
Paris Technologies
OCTOBER 2, 2017
Data preparation can be a tedious and time consuming activity. However, it is a fundamental part of the data analysis process in order to produce accurate information that can be trusted. If you are responsible for preparing data for analytics, you have to ask questions based on the expectations and demands of the business. What […].
CONTACT Software
OCTOBER 17, 2017
Let’s get digital – The Internet of Things (IoT) has an outstanding influence on the relationship between companies and their customers. Companies now face the challenge of placing attractive digital offerings so as not to fall behind. The white paper identifies the central mechanisms of digital offerings and identifies the 14 most important patterns and blueprints for IoT-driven business models.
IBM Big Data Hub
OCTOBER 9, 2017
Organizations are collecting terabytes of data, so it’s not surprising that organizations are scrambling to identify a data management solution that fits their unique environment. The freedom of choosing the right data source to fit an organization’s data storage strategy is the key to robust data management process.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Cloudera
OCTOBER 26, 2017
Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance.
ScienceSoft
OCTOBER 5, 2017
We explore how a central CRM system, mobile banking app and analytics software can help banks to succeed in cross-selling.
Information Builders
OCTOBER 2, 2017
Enclara Brings Analytic Clarity to Hospice's Mission of Mercy. Customer-Facing Portal Helps Palliative Care Organizations Reduce Costs and Improve Patient Care. Determined to improve upon the standard pharmaceutical model, in which a hospice simply calls in an order to a local or regional pharmacy, Enclara Pharmacia used Information Builders' WebFOCUS business intelligence (BI) and analytics platform to create Enclarity™, a customer-facing analytics environment for its hospice clients. rea
Nutanix
OCTOBER 15, 2017
Decrypting Oracle software licensing has long been the bane of IT shops. There are some steps, however, that customers can take to help contain, and optimize, Oracle licensing.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
by ERIC HOLLINGSWORTH A large part of the data we data scientists are asked to analyze was not collected with any specific analysis in mind, or perhaps any particular purpose at all. This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. A landscape of promise and peril The data scientist working today lives in what Brad Efron has termed the "era of scientific mass production," of which he remarks, "But now the flood of data is acc
IBM Big Data Hub
OCTOBER 26, 2017
Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.
Cloudera
OCTOBER 31, 2017
Cloudera was recently named to the San Francisco Business Times “Fast 100” list of the fastest-growing private companies in the Bay Area. We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. .
DataRobot Blog
OCTOBER 3, 2017
Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. From speaking with attendees at the Paxata exhibit booth, partaking in networking events, and attending sessions, we observed three major trends: 1) Convergence of technologies.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Occam's Razor
OCTOBER 12, 2017
The rapid pace of innovation and the constantly exploding collection of possibilities is a major contributor to the fun we all have in digital jobs. There is never a boring moment, there is never time when you can’t do something faster or smarter. The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills.
Nutanix
OCTOBER 15, 2017
Decrypting Oracle software licensing has long been the bane of IT shops. There are some steps, however, that customers can take to help contain, and optimize, Oracle licensing.
IBM Big Data Hub
OCTOBER 5, 2017
Over the past few years, two major trends have overtaken the world of analytics and data-driven decision-making.
IBM Big Data Hub
OCTOBER 5, 2017
IBM Analytics is coming to Berlin and New Orleans this October. Here are five traits that make the conference unique. Can't make it? Join the Facebook livestream on October 10 or watch the replay to hear the opening session keynotes from Joel Shapiro and Marc Altshuller.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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