Occam's Razor

MARCH 19, 2018

I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. A lot of hard work has gone into collecting the requirements and implementation. An additional massive investment was made in the effort to perform ninja like analysis. The end result was a collection trends and insights. The last-mile gap is the distance between your trends and getting an influential company leader to take action.

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BA Learnings

MARCH 31, 2018

Transferrable skills are a core set of skills and abilities, which can be applied to other jobs and industries. Though most examples you will see are related to soft skills like communication, listening, leadership, etc, transferrable skills extend beyond these and it’s extremely important to identify them when thinking of a career change or advancement.

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Business Analysis Testing Management Software 100

Boris Evelson

MARCH 2, 2018

In most enterprises, data access is a fait accompli: 72% of global data and analytics decision makers say that they can access the data they need to obtain insights in a timely manner. However, even the most modern BI tools that make data more accessible still require significant subject matter expertise to find the right […].

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IBM Big Data Hub

MARCH 16, 2018

March 16, 2018 is the 25th anniversary of the Db2 relational database product on Linux UNIX and Windows. Over the past 25 years, this team has built the Db2 brand for the distributed product, complementing IBM’s Db2 mainframe offering and creating a market force.

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Marketing 95

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Optimization

TIBCO

MARCH 6, 2018

It’s no secret that evolution drives Formula One racing. Each season, teams work to improve safety and energy consumption with the goal of giving fans a great, competitive show with a level playing field. The crux and excitement of F1 racing is for teams to expect the unexpected. Whether it’s weather conditions or a pitfall of an opponent, teams need to be prepared to adapt to changing conditions — even the most minor of changes can have the greatest impact.

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Juice Analytics

MARCH 14, 2018

The ability of an excel novice (i.e. me) to use a pivot table is basically naught. My ability to manipulate data does not exist, and yet I work for one of the most forward-thinking data presentation companies! Nevermind why I was hired, I quickly learned how to use a Juicebox application because Juicebox is designed with the everyday end user in mind.

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Perceptual Edge

MARCH 21, 2018

We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments.

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The Unofficial Google Data Science Blog

MARCH 22, 2018

by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to make decisions without having to wait for the long tail of users to experience the treatment to which they have been assigned.

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IBM Big Data Hub

MARCH 12, 2018

For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also expect greater flexibility concerning where they are located and how they consume data management resources.

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Sanjeev Mohan

MARCH 18, 2018

Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! I attended this year’s edition of Strata Data show last week in San Jose. Last year when I attended the show, it was still called Strata Hadoop. Interestingly, if last year many companies were trying to distance themselves from Hadoop, this year I witnessed outright hostility towards it.

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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?

Business Intelligence

Juice Analytics

MARCH 21, 2018

Over the years, we’ve had the pleasure to work with many great individuals and companies and through our work have gained the ability to sympathize with their experiences of what we like to call “going from 0 to 100." No, we’re not endorsing excessive speeding in your car. We’re talking about going from having nothing but hopes and dreams about delivering engaging analytics (0) to having an interactive data story that your users don’t want to put down (100).

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ScienceSoft

MARCH 22, 2018

Big data can drive your company to success, but first you’ll need to deal with 7 major big data challenges. Find out what they are and how to solve them.

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Big Data 58

Perceptual Edge

MARCH 12, 2018

In statistics, what we often identify as randomness in data is not actually random. Bear in mind, I am not talking about randomly generated numbers or random samples. Instead, I am referring to events about which data has been recorded. We learn of these events when we examine the data. We refer to an event as random when it is not associated with a discernible pattern or cause.

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Bruno Aziza

MARCH 15, 2018

For many in the industry, Ash Gupta is seen as being the father of data-driven risk analysis, and his efforts have contributed to the increased usage of data and analytics in financial services

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Data-driven

IBM Big Data Hub

MARCH 21, 2018

Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.

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Machine Learning Data Science Analytics 72

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

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Data Science and Beyond

MARCH 20, 2018

A post I’ve written on applying some software engineering best practices to data science projects. Data for Breakfast. Most data scientists have to write code to analyze data or build products. While coding, data scientists act as software engineers. Adopting best practices from software engineering is key to ensuring the correctness, reproducibility, and maintainability of data science projects.

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ScienceSoft

MARCH 27, 2018

IoT generates volumes of big data which can be applicable to achieve progress in a number of sectors. However, there are specific features in IoT big data collecting, processing and applying which need to be considered in IoT development.

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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.

Marketing

Smarten

MARCH 13, 2018

Need Analytics for Business Users AND Data Scientists? No Problem! Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best

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Bruno Aziza

MARCH 20, 2018

Cyber attackers have become adept and hyper-active in using SSL for malevolent purposes. This blog covers the biannual analysis of SSL trends conducted by Zscaler’s Threatlabz, which found that the number of SSL encrypted messages that contained advanced threats continued to rise in 2017.

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IBM Big Data Hub

MARCH 22, 2018

Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.

Analytics 71

Analytics 71

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables for our customers and why we’re so excited to introduce it today for Cloudera Altus.

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Analytics Metadata Recreation/Entertainment Big Data 40

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

Business Intelligence

Nutanix

MARCH 29, 2018

One of the largest healthcare IT shows, HIMSS 2018 wrapped up in Las Vegas back in the first week of March and as expected over 1300 companies exhibited in the areas such as cloud computing, artificial intelligence, clinical workflows, and interoperability.

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IT 20

ScienceSoft

MARCH 29, 2018

Unlike challenges, big data problems are conceptual and have a much deeper nature. What are they and do they have the power to threaten your business? Find out here.

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Big Data 53

Smarten

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more o

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IBM Big Data Hub

MARCH 14, 2018

Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for Immersive Insights and how data visualization will improve business intelligence for enterprise decision makers.

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Visualization Business Intelligence Big Data Enterprise 71

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.

Data-driven

IBM Big Data Hub

MARCH 22, 2018

Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet. Here are our top picks for analytics pros today.

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Data-driven Analytics 71

IBM Big Data Hub

MARCH 16, 2018

Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.

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IBM Big Data Hub

MARCH 20, 2018

The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.

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IBM Big Data Hub

MARCH 19, 2018

We’re live at Think 2018. If you’re joining us in Las Vegas, welcome to the biggest IBM event of the year. You’re about to experience a whirlwind of analytics keynotes, panels, demos, and more.

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Analytics 63

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