Corinium
FEBRUARY 20, 2020
Promoting data literacy and culture is essential to the success of any digital transformation. Developing analytical skills is like fishing. Giving someone a rod isn’t enough. They must genuinely want to catch a fish if they’re going to learn how to use it. Even then, they’ll need someone to show them how.
Dataiku
FEBRUARY 28, 2020
This blog post is part of a series of guest publications by Excelion Partners. It’s been growing for years. The rift just keeps getting bigger. There is plenty of blame to go around. Failed projects. Poor requirements. Scope creep. Software product marketing overpromising. Order taking and lack of progress.
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Smart Data Collective
FEBRUARY 20, 2020
Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data. They found an interesting quandary that many companies are facing.
Corinium
FEBRUARY 24, 2020
Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.
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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?
Smart Data Collective
FEBRUARY 14, 2020
Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price. It can compromise our privacy, as more and more people can get access to it.
Analytics Vidhya
FEBRUARY 16, 2020
Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep Learning appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
datapine
FEBRUARY 4, 2020
Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive.
David Menninger's Analyst Perspectives
FEBRUARY 21, 2020
Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink. Meanwhile, virtually every organization is confronting a need for good data governance.
Corinium
FEBRUARY 13, 2020
How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference. Corinium’s 2020 Chief Data & Analytics Officers UK conference revealed how CDAOs, data teams and organisations are evolving to scale data capabilities and drive ROI more efficiently.
erwin
FEBRUARY 6, 2020
As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. The research from the survey suggests that companies are still grappling with the challenges of data governance — challenges that will only get worse as they collect more data.
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Analytics Vidhya
FEBRUARY 5, 2020
Overview Relational databases are ubiquitous, but what happens when you need to scale your infrastructure? We will discuss the role Spark SQL plays in. The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya.
O'Reilly on Data
FEBRUARY 11, 2020
We suspected that data quality was a topic brimming with interest. Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.
datapine
FEBRUARY 18, 2020
The financial health, flow, and fluidity of your business will ultimately dictate its long-term success, which is why monitoring your money matters carefully, comprehensively, and accurately is absolutely essential. In our data-driven digital age, ‘business intelligent’ organizations with the ability to collate, organize, and leverage the insights that are most valuable to their ongoing commercial goals are the ones that are destined to thrive in the long-term.
David Menninger's Analyst Perspectives
FEBRUARY 18, 2020
Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes. It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes.
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.
Corinium
FEBRUARY 28, 2020
With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age. AI-driven insurance app Lemonade is the latest in a long line of financial services innovations designed to put customer experiences first.
Juice Analytics
FEBRUARY 10, 2020
In our book Data Fluency , we describe the four pillars of a “data fluent” organization: Data Consumers — the people who use data products to make better decisions; Data Authors — the people who create data products to influence and inform decisions; Data Ecosystem — the set of tools, processes, and capabilities to create effective data products; Data Culture — the norms, expectations, and leadership that encourage a data-driven organization.
Analytics Vidhya
FEBRUARY 6, 2020
The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 26, 2020
The Coronavirus has infected nearly 80,000 people worldwide, resulting in some 2,500 fatalities. As this deadly contagion continues spreading from its origins in Wuhan, China, policymakers worldwide are scrambling to figure out how to contain it.
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.
Data Science 101
FEBRUARY 27, 2020
Data Science 101 is honored to present the Global Women in Data Science 2020 livestream. This is the fifth annual global conference which features “outstanding women doing outstanding data science work in academia, industry, government, and non-profits.” The livestream is free and it begins March 2, 2020 at 9am PST. The livestream will be available during the live event.
Domino Data Lab
FEBRUARY 12, 2020
Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit. Introduction. This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations.
Corinium
FEBRUARY 14, 2020
With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible. Imagine an employee trying to check their emails, schedule a meeting or edit a document without these essential skills.
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order.
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.
Analytics Vidhya
FEBRUARY 12, 2020
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 18, 2020
We at DataRobot have been enjoying building models to predict various sporting events around the world. However, it’s been pointed out to me that we have shown a bias for covering North American events so far. Several colleagues in Europe asked when we were going to predict the world’s most popular game, football. So I enlisted Chloe and Akshay to help me and see if we could predict the Champions League Knockout Stage and the eventual Champions League winner.
FineReport
FEBRUARY 4, 2020
Original source from [link]. For code details, please click the taichi_mpm project link at the end of the text. What is Taichi? With only 99 lines of code, you can also have the magic of snow and ice like Princess Aisha in “Frozen” Although you cannot arbitrarily create magic in the real world, it can be implemented in the virtual world of computers.
TDAN
FEBRUARY 18, 2020
Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform. Sources of this poor performance can be many, including functions and components in the conceptual, structural, organizational, and operational domains, among others. One recurring source of this poor performance is linguistic in origin.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Corinium
FEBRUARY 10, 2020
Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020. More than 200 data and analytics leaders will get a taste of what the future has in store for them when they descend on London for Corinium’s Chief Data & Analytics Officers UK conference this week.
erwin
FEBRUARY 20, 2020
Enterprise architecture (EA) and business process (BP) modeling tools are evolving at a rapid pace. They are being employed more strategically across the wider organization to transform some of business’s most important value streams. Recently, Glassdoor named enterprise architecture the top tech job in the UK , indicating its increasing importance to the enterprise in the tech and data-driven world.
Analytics Vidhya
FEBRUARY 17, 2020
Introduction Convolutional neural networks (CNN) – the concept behind recent breakthroughs and developments in deep learning. CNNs have broken the mold and ascended the. The post Learn Image Classification on 3 Datasets using Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.
Smart Data Collective
FEBRUARY 21, 2020
The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
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