Analytics Vidhya
MAY 26, 2019
Introduction It is crucial to understand customer behavior in any industry. I realized this last year when my chief marketing officer asked me – The post A Beginner’s Guide to Hierarchical Clustering and how to Perform it in Python appeared first on Analytics Vidhya.
Sisense
MAY 27, 2019
Let’s paint a happy picture. Things are progressing nicely at your organization. You’ve got a strong bank of existing customers whose business you can grow. You’ve got a healthy level of interest from the visitors to your website, enquiries, and trials. You’re regularly finding great leads and you’ve got some good ideas for more lead generation. And you’re consolidating your relationships with your partners, potential new partners, your channels, suppliers, and so forth.
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datapine
MAY 28, 2019
BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. With the help of online data analysis tools , these kinds of projects have become easy to manage and agile in performance.
Corinium
MAY 27, 2019
With the rise of new data streams, the ability to access more data and derive insights from it more quickly is critical. By 2023, worldwide revenue for big data solutions will reach $260 billion.* Download our new 3 Benefits of a Self-Adapting Data Warehouse ebook to learn how analytics leaders leverage technology shorten time to value for their data.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Analytics Vidhya
MAY 28, 2019
Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us. The post Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule appeared first on Analytics Vidhya.
Smart Data Collective
MAY 29, 2019
Big data is completely transforming the way we live and the way companies conduct business. Pretty much every industry you can think of uses some form of big data technology to help optimize their business. In this article, we reveal five industries which have been reshaped by big data technology. 1. Retail. IBM wrote an excellent report about the use of big data in the retail sector.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
MAY 26, 2019
Ahead of the Chief Customer Officer New Zealand conference, we caught up with Phillipa Cameron, Chief Customer Officer at Stuff NZ to discuss the biggest challenges she faces in her role, and how to tackle them, how she has encouraged Stuff NZ to be more collaborative as well as how a shift to be more customer focused has impacted the organisation.
Analytics Vidhya
MAY 29, 2019
Introduction What’s the key to cracking data science competitions? How do you use this experience to break into the data science industry? We regularly. The post Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert appeared first on Analytics Vidhya.
Dataiku
MAY 30, 2019
Data Scientists are a passionate and curious bunch, who explore the ecosystem to learn new technologies and best practices but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we assembled a set of free resources for data scientists to keep up with the latest in research, corporate practices, and data ethics.
Data Science 101
MAY 31, 2019
Avrim Blum, John Hopcroft, and Ravindran Kannan wrote the book, Foundations of Data Science (PDF download). It is free and available for download. It can be useful for academic work or in business. It covers topics such as: Machine Learning Massive Data Clustering and many more. See the video for more.
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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?
Corinium
MAY 27, 2019
Industry 4.0…. it is just a buzz word thrown about? What does it actually mean? And how does it have an impact? We went straight to the source and asked the founding father and driving force behind the Industry 4.0 workgroup- Henrik von Scheel. What exactly is the Fourth Industrial Revolution?
DataRobot
MAY 27, 2019
This blog is meant to be a fun and unique take on predicting which team will win the Stanley Cup 2019.
CIO Business Intelligence
MAY 27, 2019
What is a business relationship manager? A business relationship manager (BRM) acts as a liaison between IT and other business units in the organization. As departments increasingly rely on technology, organizations often find they need to establish stronger communication between IT and outside business units. The BRM role is typically a senior-level position, for which candidates need a wide range of experience, hard and soft skills and education to fill the job requirements. [ Get ahead with t
erwin
MAY 31, 2019
It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. I’m not saying that enterprise architects only worry about business structure and high-level processes without regard for business needs, information requirements, data processes, and technology changes necessary to exec
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📌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.
Teradata
MAY 30, 2019
Rob Armstrong explains three critical ways to get better answers from your data.
IBM Big Data Hub
MAY 28, 2019
Before making any major purchase decision, most of us read reviews to learn about the experiences of other users and get an understanding of a product from the perspective of the marketplace. This is especially important for when evaluating options for a major investment like planning software.
Data Science 101
MAY 28, 2019
I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video. Also, here are the main topics: Azure ML Studio Machine Learning Python High-level knowledge of Azure Products. Also, if you want a checklist to prepare for the exam, I have created one, it is free.
Dataiku
MAY 25, 2019
Today is GDPR's first birthday, so it's a great opportunity to look at how organizations have adapted in the last year. While most users felt the impact of GDPR in the form of cookie notifications on every single website , the the General Data Protection Regulation revolutionized the way organizations must justify their usage of user data.
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.
Teradata
MAY 28, 2019
Tom Casey discusses marketing personalization and why it's important to the modern customer experience.
Smart Data Collective
MAY 28, 2019
Big data is giving savvy brands a significant edge in the market. They are able to use analytics and other data insights to bolster customer service, reduce marginal operating costs and scale production. One of the biggest benefits of big data is in the arena of digital marketing. Dataconomy wrote a post about the value of big data in digital marketing.
Sisense
MAY 28, 2019
Every decade, like clockwork, the Business Intelligence (BI) industry welcomes the next generation of BI platform providers. Two decades ago, it was Cognos and MicroStrategy. Then Tableau and QlikTech stepped up to carry the torch. And with each passing of the torch, new leaders emerge with the power to disrupt the market. 2019 can best be described as an era of modern cloud data analytics.
Ontotext
MAY 30, 2019
Today, I want to invite you to a thought experiment. Let’s imagine Johnny Mnemonic – Keanu Reeves’ character from the cyberpunk action thriller movie of the same name – who is carrying a data package inside his head. He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic tech
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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.
Andrew White
MAY 30, 2019
AI is not ugly, that’s for sure. AI is a promising technology, and it is certainly in the limelight. Several articles in the papers over the last few weeks highlight what is good and bad about AI. Here is a snippet of a couple of them. From the US print edition of the Wall Street Journal: April 30 2019: Data Management Helps Companies Exploit AI.
Smart Data Collective
MAY 28, 2019
CPA Practice Advisor wrote a fascinating article on the applicability of big data in the accounting field. The article showed that the increasing supply of data is making it easier for companies to handle many core accounting functions. Big data is playing an important role in everything from auditing to custom service. There are a lot of benefits of using big data to simplify the accounting process.
IBM Big Data Hub
MAY 30, 2019
Learn how to upgrade your marketing plans with some insights from Ventana Research.
Ontotext
MAY 30, 2019
In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Long story short, you will learn whether Johnny Mnemonic would have been better off, had he been tasked with smuggling Linked Data.
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.
Sisense
MAY 30, 2019
It’s hard to think about life before cell phones. They function as wallets, music players, newspapers, work tools, GPS systems, and much more. Let’s not forget the instant gratification people expect from their phones. Today we want everything, instantly, in the palm of our hands. That includes insights. If you take the amount of data generated on a daily basis, add to it the move to mobile, and combine that with the need for instant gratification…data visualization for mobile has a lot of
Smart Data Collective
MAY 30, 2019
Big data is changing the direction of customer service. Machine learning tools have led to the development of chatbots. They rely on big data to better serve customers. Namee Jani wrote a fascinating article on chatbots and data analytics last year. She said they are the next big thing in business optimization in her article on Towards Data Science.
IBM Big Data Hub
MAY 30, 2019
It’s been one year since we launched IBM Cloud Pak for Data (previously IBM Cloud Private for Data), IBM's data and AI platform for today's modern enterprise. Since then, this platform has been embraced by hundreds of customers, and Forrester ranked it No.
Paul Blogs on BI
MAY 28, 2019
This year’s SAP Sapphire conference started somberly with SAP CEO Bill McDermott attempting to paint a rosy picture of the world of SAP. The conference concluded with the high energy and excitement of a fabulous Lady Gaga concert where she confessed that after much research she didn’t have a clue what SAP does! Despite hundreds of sessions and solutions to see, there was something missing.
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.
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