Sat.Feb 16, 2019 - Fri.Feb 22, 2019

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BOARD Combines Business Intelligence with Planning

David Menninger's Analyst Perspectives

I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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How do Data Professionals Spend their Time on Data Science Projects?

Business Over Broadway

Data science projects require data professionals to devote their energy toward different activities toward project completion. Results of a recent study of over 23,000 data professionals found that data scientists spend about 40% of gathering and cleaning data, 20% of their time building and selecting models and 11% of their time finding insights and communicating them to stakesholders.

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5 ways organizations can benefit from machine learning

IBM Big Data Hub

Machine learning (ML) offers huge potential to help compliance and legal teams accomplish many of their most important rule tracking, employee monitoring and documentation activities.

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On Collaboration Between Data Science, Product, and Engineering Teams

Domino Data Lab

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Mandel’s previous leadership roles within data engineering, product, and data science teams at multiple companies provides him with a unique perspective when identifying and addressing potential tension points.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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DataRobot’s Oscar Prediction 2019: All Eyes on Best Picture

DataRobot

This blog is meant to be a fun and unique take on predicting Best Picture for the 91st Academy Awards.

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The Intricacies of Financial Analytics in the Event Industry

BizAcuity

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is helping businesses in understanding current and past performance; predict future performance thereby arriving at making smarter decisions.

More Trending

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Compare the Top 7 Microsoft Dynamics Business Intelligence and Analytics Platforms

Jet Global

Choosing to buy a business intelligence (BI) and analytics solution for your Microsoft Dynamics system is a big step. There are many vendors to select from, with all the functionality and benefits you could imagine. Before you get into the features, it’s always important to do a full evaluation of your organization. The first step in software selection is to understand what capabilities you need in a solution to help you achieve your analytics goals.

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Data Scientist Spotlight: Zach Deane-Mayer

DataRobot

You’ve decided: DataRobot is cool. You saw a demo. Your people tell you they like it. You like the way it makes data scientists more productive. And you love the way it helps you introduce new people to machine learning.

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What my first Silver Medal taught me about Text Classification and Kaggle in general?

MLWhiz

Kaggle is an excellent place for learning. And I learned a lot of things from the recently concluded competition on Quora Insincere questions classification in which I got a rank of 182/4037. In this post, I will try to provide a summary of the things I tried. I will also try to summarize the ideas which I missed but were a part of other winning solutions.

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Data privacy perceived as the biggest obstacle to deploying security analytics solutions

BI-Survey

T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. The adoption of innovative technologies that create new business models and provide substantial cost savings is going to continue whether IT departments like it or not. To face the numerous new challenges and security risks that digital transformation is bringing, companies can no longer rely on traditional perimeter security tools, since there is simply no

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Towards an Introspective Data Virtualization System

Data Virtualization

To know and knowing to know, that is, one more word for a profoundly different meaning, which introduces that awareness of knowledge, which is a key element for its sharing and, furthermore, the foundation to derive from it that value. The post Towards an Introspective Data Virtualization System appeared first on Data Virtualization and Modern Data Management.

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Running Simulations with the New DataRobot What-If Extension for Tableau

DataRobot

In order t o further help you accelerate AI success with the team and tools you have in place, we are pleased to share our new DataRobot What-If extension for Tableau. The DataRobot What-If extension empowers you to analyze the cause-and-effect of different variables on a predicted outcome within a familiar Tableau experience. With the DataRobot What-If extension, you can make better informed, more actionable decisions to optimize outcomes.

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Digital Transformation In Retail: The Retail Apocalypse

erwin

Much like the hospitality industry , digital transformation in retail has been a huge driver of change. One important fact is getting lost among all of the talk of “the retail apocalypse” and myriad stories about increasingly empty shopping malls: there’s a lot of money to be made in retail. In fact, the retail market was expected to grow by more than 3 percent in 2018 , unemployment is low, and wages are at least stable.

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Digital Transformation at the Intersection of AI and Analytics

bridgei2i

Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. Centered around the premise of the Intersection of AI and Analytics, here’s an excerpt of the keynote: The journey of AI has an intriguing history to it right from the inception of the word Artificial Intelligence to its deployment in various forms – from mobile phones to the internet revolution, from the big data boom to the innovative analytics industr

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Customer-Facing Data Solutions Need a Product Mindset

Juice Analytics

If most customer data initiatives are risky, have low adoption , and often don’t meet their goals, what steps can we take to improve success rates? What we’ve learned at Juice over 10 years and hundreds of implementations is that customer-facing data initiatives succeed when you deliver a product, not a project. You need a product mindset to reduce risks, make customers happy, and deliver revenue.

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The vision for Db2 and other announcements from Think 2019

IBM Big Data Hub

At the Think 2019 conference, IBM hosted a plethora of data-management-focused sessions with several announcements that will undoubtedly impact the data management strategy of many businesses.

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Choosing a Valuable Data POC

Dataiku

POCs often feel like a gamble. You're testing the boundaries of your business's technological capacity and your ability to change at the same time. If your POC is an anomaly or you're unprepared to activate it, you risk missing out on technology that could keep your business on top. The choice for a data specific POC is critical, because organizational resistance to change is one of the biggest barriers to data integration.

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How to Display Your Data So Everyone Understands

TIBCO

With great data comes great responsibility. With that responsibility, comes the need for accurate and clear communication about that great data. As it stands, data can be a very powerful tool that can either enact positive change or invoke disastrous results if interpreted incorrectly. It’s similar to over the counter medicine, which if taken correctly can do a lot of good, but if mislabeled or confusingly displayed can lead to mistreatment and unsuccessful results.

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Marketing Operations in 2025: A New Framework for Success

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.

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Demand Forecasting Using Traditional and Contemporary Data Science

ScienceSoft

Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science.

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Evolution of AI in Sales (Part 3)

bridgei2i

Examples of AI Solutions Usage. Traditional algorithmic solutions around structured data have gained and continue to gain traction. Matt Hellman a Transformation Leader at Microsoft writes in a September 2018 article titled, “How AI is transforming sales and marketing” in The Marketing Journal. A strong case study where a global MNC used AI enabled deal classification, data input enhancement, account analytics, and external data feeds to transform their sales organization in Nigeria resulting in

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Data Visualization Tools Make Sense of Confusing Data!

Smarten

What is Smart Data Visualization? Smart data visualization is a crucial part of advanced analytics. Smart visualization allows business users to view and analyze data to identify a problem, clarify a root cause, identify a business opportunity, and to make confident decisions. Business users can interact easily with visual analytics tools to build a view that will tell a compelling story using guided visualization tools so there is no need for assistance from data scientists or delay in finding,

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Are data science platforms a good idea?

CONTACT Software

According to Karl Valentin: Platforms are beautiful and take a lot of work off your neck. The idea of platforms for automatic data analysis comes at just the right time. In line with this, Gartner has now published a “ Magic Quadrant for Data Science and Machine Learning Platforms “ The document itself can only be viewed behind a paywall, but on the net some of the companies mentioned in the report offer access to the document by entering the address.

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The Cloud Development Environment Adoption Report

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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It's the Relationship - Not Just the Data - That is Critical to Success

Teradata

Rob Armstrong explains that while data is important, the real key is preserving the relationships across the data models that leads to insight and successful business outcomes.

IT 40
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Mining comminution – crusher, ball mill, and advanced analytics?

3AG Systems

Mining operations are complex environments. Even for something as “simple” as surface mining or open pit mining, there are a whole host of variables to consider. Small changes in blasting operations, haul truck speed, stockpiling, and equipment can have significant impact on throughput and operating cost. Furthermore, all these components are inter-related, making second-order effects difficult to identify, let alone correct.

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Error converting data type varchar to numeric where ISNUMERIC finds only numbers

Jen Stirrup

I am writing some SQL to form the basis of views to pull data from a Microsoft SQL Server source into Azure SQL Database, and then the data would go to Power BI. The data was all presented in string format initially (not my data, not my monkeys, not my circus), and I wanted to correct the data types before the data got into Power BI. I noted that one of the columns failed to convert VARCHAR to DECIMAL.

IT 40
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Are you on Track to Meet your Datacenter Resolutions?

Nutanix

Time for a check-in: How well are you doing on your New Year’s resolutions? If you answered with a sharp inhale and a shake of the head, you’re not alone. In fact, about 80% of folks aren’t able to stick to their resolutions.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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The Utah Jazz Uses Pervasive Data Intelligence for Next Generation Sports Analytics

Teradata

Larry H. Miller is using data and analytics to successfully increase customer satisfaction from a multitude of data sources and customer touchpoints.

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What is customer analysis and segmentation analysis?

3AG Systems

Customer analysis may be the most important market segmentation analysis you can perform for your business. Without it, trying to find new customers, or selling more services to existing customers, will likely have limited success. Unless you really get to know your customers, your business won’t be a in position to meet their needs. The traditional approach to customer analysis is often driven by marketing because this team needs to understand the customer to target them directly.

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Moving WordPress websites between Azure Subscriptions

Jen Stirrup

I’m keen to learn practical aspects of Azure and cloud computing, so I can really understand their value for small businesses who rely on cloud computing. I don’t feel comfortable advocating for something I don’t really understand, or haven’t tried myself. So I set up my Data Relish website using Azure and WordPress , and integrated it with HubSpot so I could use Power BI and HubSpot together.

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Introducing Total Cost of Ownership (TCO) View for Nutanix Enterprise Cloud

Nutanix

IT decision makers operating multi-cloud environments need to make critical budgeting and investment decisions about their cloud investments.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.