4 Types of Data Analytics to Improve Decision-Making
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.
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 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.
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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.
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.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
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.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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.
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.
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.
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.
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.
ScienceSoft
JULY 20, 2017
Striving to deliver a unique customer experience, companies should not overlook the benefits that customer intelligence can bring.
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.
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.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
Bruno Aziza
JULY 11, 2017
From AI to machine learning, transformational technology is changing the landscape of how companies conduct business.
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.
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.
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
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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.
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