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.
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.
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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.
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.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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.
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.
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 […].
ScienceSoft
OCTOBER 5, 2017
With banking analytics software, banks can predict customer behavior, anticipate future events, and gain new insights that improve cross-selling.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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.
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.
Bruno Aziza
OCTOBER 31, 2017
Today, Girls Who Code is a national organization that has helped 40,000 girls learn fundamental computer science skills.
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. .
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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.
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
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.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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.
Cloudera
OCTOBER 25, 2017
Our lives continue to become connected, just look at your phone in your pocket. If you have an iPhone 6, for example, you are walking around with a connected device that has nine sensors in it. Nine sensors that are constantly collecting data about you. If you are an Amazon Prime user, chances are you’ve heard of an Amazon Dash Button that connects your Amazon account for 1-click shopping for those “hard to live without” items.
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.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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 5, 2017
Over the past few years, two major trends have overtaken the world of analytics and data-driven decision-making.
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.
Cloudera
OCTOBER 23, 2017
Your enterprise big data and machine learning initiatives can be delayed, fail, or risk security breach unless you choose the most mature, most tightly integrated platform. The good news is that enterprise big data and machine learning initiatives will benefit from increased agility and decreased risk with the recent release of CDH 5.13. One primary goal was making multi-disciplinary analytics workloads run smoothly and efficiently in the cloud when backed by our new Shared Data Experience.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
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.
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.
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.
IBM Big Data Hub
OCTOBER 30, 2017
See what you missed at the IBM Chief Data Officer Strategy Summit Fall 2017 in Boston, Massachusetts with a collection that includes a full social recap, videos, quotes and more.
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
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