ScienceSoft

JULY 11, 2017

Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.

Data Analytics 96

Data Analytics Analytics 96

Data Science and Beyond

JULY 28, 2017

About two years ago, I read the book The Year without Pants , which describes the author’s experience leading a team at Automattic (the company behind WordPress.com, among other products). Automattic is a fully-distributed company, which means that all of its employees work remotely (hence pants are optional). While the book discusses some of the challenges of working remotely, the author’s general experience was very positive.

Data Science 81

Data Science Testing Measurement Uncertainty 81

Rita Sallam

JULY 31, 2017

Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Over the past 10 years or more, visual-based data discovery tools (e.g. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g. IBM Cognos, SAP BusinessObjects). Yet, as transformative as these tools have been, analytics is once again at a critical inflection point.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

Smarten

JULY 26, 2017

I am going to be blatantly trumpeting of our products, its road map and its usage in this article, and you are likely to get more value out of this than a book on analytics. My guess is that you will read ahead since you are a sceptic. Let us address what you may be thinking based on the title of this article. It is about bots, AI, machine learning or voice based search.

Analytics 65

Analytics Sales Recreation/Entertainment Reporting 65

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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

The Unofficial Google Data Science Blog

JULY 11, 2017

by STEVEN L. SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

Forecasting 64

Forecasting Statistics Modeling Software 64

Bruno Aziza

JULY 5, 2017

Office 365 is a transformational force acting on IT strategy and business networks. To embrace Office 365 for its full potential, CIOs need to set a strategic course forward that does away with entrenched thinking and embraces cloud-first principles.

Digital Transformation 57

Digital Transformation Strategy IT 57

Nutanix

JULY 14, 2017

As a follow-on to our multi-year partnership announcement on May 16, IBM has released details on their new Hyperconverged Systems powered by Nutanix Enterprise Cloud Platform software.

Software 20

Software Enterprise 20

Darkhorse

JULY 6, 2017

TL;DR: Gather data from inside and outside the firewall Understand (and document) your sources and their limitations Clean up the duplicates, blanks, and other simple errors Join all your data into a single table Create new data by calculating new fields and recategorizing Visualize the data to remove outliers and illogical results Share your findings continuously If you aspire to be a data scientist, you’re really aspiring to be a data wrangler.

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

Smarten

JULY 21, 2017

Plug Your Users In For Crucial Decisions with Plug n’ Play Predictive Analytics! What did we do about planning and forecasting in the past? Well, a lot of what we did was based on guesswork. We might look at historical data and plan for growth that was unrealistic because it did not reflect the competitive market growth or the advent of online competition.

Predictive Analytics 65

Predictive Analytics Forecasting Software Marketing 65

Occam's Razor

JULY 13, 2017

I believe deeply in the value of making data accessible. In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). There is something magical about taking the tons and tons of complexity that lurks in our data, being able to find the core essence, and then illustrate that simply. The result then is both a mind and heart connection that drives action with a sense of urgency.

Visualization 125

Visualization Strategy Interactive Statistics 125

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Data-driven

Bruno Aziza

JULY 7, 2017

At the center of these IT transformations lie converged infrastructure (CI), hyper-converged infrastructure (HCI) and “software-defined” environments to help achieve digital business goals of faster time to market and improved customer engagement.

IT 47

IT Modeling Software Marketing 47

ScienceSoft

JULY 20, 2017

Striving to deliver a unique customer experience, companies should not overlook the benefits that customer intelligence can bring.

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Nutanix

JULY 10, 2017

One of my favorite phrases from.NEXT 2017 came from SAP’s CEO Bill McDermott, who sat down with our own Dheeraj Pandey and the 3850+ attendees of annual Nutanix user conference and shared, “there is no room for small dreams.

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Smarten

JULY 3, 2017

Advanced Analytics Software and Smart Visualization Empowers Business Users. Advanced Analytics Software, Data Discovery Tools and Smart Visualization can improve your planning and forecasting process, and empower your organization. The Smarten Business Intelligence environment provides advanced analytics tools that are simple enough for business users and sophisticated enough to mash-up and manage data for optimal analysis, and flexible reporting.

Visualization 65

Visualization Forecasting Software Business Intelligence 65

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

JULY 11, 2017

Agility and Quality: A Vital Balancing Act! This might be a strange comparison but let me make it anyway! Think of data agility and data quality like a tight rope act. The tightrope walker is thinking about getting to the other side without falling. The audience wants to see grace and beauty during the process. They want to see a QUALITY act. In the case of the tightrope walker and the audience, they sometimes have very different goals.

Data Quality 63

Data Quality Reporting IT Analytics 63

Bruno Aziza

JULY 11, 2017

From AI to machine learning, transformational technology is changing the landscape of how companies conduct business.

Machine Learning 53

Machine Learning Technology 53

Smarten

JULY 12, 2017

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. For example, date or time driven patterns which keep repeating till the cows come home. We will not discuss this here and hope you are relieved of some scepticism about this article at this stage.

Predictive Analytics 40

Predictive Analytics Sales Manufacturing Data-driven 40

Smarten

JULY 19, 2017

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. With the democratization of business intelligence and the advent of self-serve business intelligence tools, organizations hope to encourage and create Citizen Data Scientists and enable the average business user to leverage sophisticated predictive algorithms and BI tool

Business Intelligence 40

Business Intelligence Predictive Modeling Cost-Benefit Data-driven 40

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.

Business Intelligence

Smarten

JULY 3, 2017

It seems that everyone today is talking about Citizen Data Scientists. For some organizations the concept is perhaps frightening. The term may conjure up images of novices trying to do the work of someone with years of training and failing miserably in the process. For others, the image may be of an organization run amuck with business users leveraging sophisticated advanced analytics tools to create and share data that may be misinterpreted or distributed improperly.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40