datapine
APRIL 16, 2019
We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. By leveraging the wealth of digital insights available at your fingertips and embracing the power of business intelligence , it’s possible to make more informed decisions that will lead to commercial growth, evolution, and an increased bottom line.
Smart Data Collective
APRIL 16, 2019
According to a UN study, 55% of the total world population is living in cities and by the year 2050, this figure could rise to a whopping 68%. The modern world is increasingly urbanized and megacities are rising faster than ever before, especially in Asian and African countries. The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city.
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Analytics Vidhya
APRIL 16, 2019
Introduction I’m a big fan of R – it’s no secret. I have relied on it since my days of learning statistics back in. The post 8 Useful R Packages for Data Science You Aren’t Using (But Should!) appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
APRIL 15, 2019
I am happy to offer some insights on Microsoft 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.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
MLWhiz
APRIL 18, 2019
Visualizations are awesome. However, a good visualization is annoyingly hard to make. Moreover, it takes time and effort when it comes to present these visualizations to a bigger audience. We all know how to make Bar-Plots, Scatter Plots, and Histograms, yet we don’t pay much attention to beautify them. This hurts us?-?our credibility with peers and managers.
Smart Data Collective
APRIL 18, 2019
We have noticed a trend in big data journalism. Topics that receive the most attention aren’t necessarily those that deserve it the most. This is especially applicable when it comes to articles covering the intersection between big data and marketing. There is a strong case to be made that big data is having a tremendous impact on sticker marketing and other forms of offline branding.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
David Menninger's Analyst Perspectives
APRIL 19, 2019
I am happy to offer some insights on Qlik 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.
Occam's Razor
APRIL 15, 2019
Not everything a company does works out. (That is different from everything that a company is doing not working out. :)). If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. The conversion rate is down 30% at launch. The goal was to deliver a 30% increase in revenue, the team delivered 1.7953%.
TDAN
APRIL 16, 2019
The secret lies with Data Governance. The Chief Data Officer (or whoever the Data Czar is at your organization) needs to get past, and I mean way past, the “Why is Data Governance important?” or “Why do we need Data Governance?” questions if they are ever going to be successful czar-ing the data. Rather, the […].
Analytics Vidhya
APRIL 14, 2019
Introduction Are you working with image data? There are so many things we can do using computer vision algorithms: Object detection Image segmentation Image. The post Build your First Multi-Label Image Classification Model in Python appeared first on Analytics Vidhya.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
IBM Big Data Hub
APRIL 15, 2019
Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity, and variety of data. But that means there are new opportunities for well-prepared SMBs to uncover insights and unlock value.
Dataiku
APRIL 18, 2019
Chief Data Officers (CDOs) are taking the data world by storm, but their role is relatively new, and subsequently, there's not much established wisdom on how to be effective in this role.
Sisense
APRIL 18, 2019
Human Resources Teams are charged with helping their companies build the strongest teams they can. This requires a complex web of skills to help find the best candidates, court them, onboard them, and keep them happy. Helping employees grow and have fulfilling careers has always been an important HR function, but in today’s tight employment market, this is especially true.
Paul Blogs on BI
APRIL 19, 2019
There has been a lot of talk and hype about PowerBI in the last couple of years. Some of that has been fueled by the infamous Gartner BI Magic Quadrants which, once again, seem to be out of touch with the reality on the ground. With more than 40% of BusinessObjects customers in the US co-existing with Tableau, we are now seeing an increase in BO customers moving towards PowerBI.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Smart Data Collective
APRIL 18, 2019
Virtual private networks (VPNs), can help you unblock content and VPNS can protect you from hackers and shady third-parties. VPNs offer privacy online and can stop governments, schools, and employers from tracking the sites you visit. But, how do VPNs protect against data leaks ? And, importantly, how do you know your VPN is leak-free? How a VPN Provides Security.
Dataiku
APRIL 16, 2019
Calculating the Return on Investment (ROI) on a business project is a necessary evil. On the one hand, you need ROI to determine the most impactful ways of spending your human and financial capital. Yet on the other, these calculations are notoriously challenging to figure out, as there are so many factors that come to bear. Data Initiatives are especially difficult to evaluate, as their success rests on the organizational buy in that results from stakeholders believing in their value.
BizAcuity
APRIL 19, 2019
Let’s face it, casino gaming is a huge business. It brings more than $500 billion in revenues every year from all around the world and the rise of the internet has fuelled its growth further. Today, online casino games has reached several people across all age groups through popular fantasy games. The case of responsible gaming. But with its growth comes another issue: the need to draw the line before excessive casino gaming becomes a problem, or as we like to call it, ‘irresponsible
Sisense
APRIL 16, 2019
There’s no denying it: the OEM analytics market is huge. A trend now recognized by Gartner in their 2018 Critical Capabilities for Analytics and Business Intelligence Platforms report, more and more organizations see the value in providing their customers with analytics. But what’s the best way to architect your OEM offering? This is where the fun begins.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
IBM Big Data Hub
APRIL 16, 2019
Integrated planning unleashes the power of enterprise performance management across your organization to support business and organizational agility. Read why that's critical.
Smart Data Collective
APRIL 18, 2019
Big data is affecting every element of logistics in the economy. One facet of modern business that doesn’t get as much attention as it should is shipping, even though big data is having a profound impact on its future. Last June, a paper prepared by Paterson Simmons showed that big data is a driving force behind the shipping industry. According to the paper, 81% of respondents recognized that big data was vital to the future of the shipping industry.
BizAcuity
APRIL 15, 2019
Marketing as we know has come a long way. What started off through simple ‘word-of-mouth’ is now becoming smarter, efficient and more personalised with the advent of technology. Of late internet has opened up several avenues to reach out to a wide range of audience. And the most recent developments in machine learning, business analytics and more have made affiliate marketing more powerful and efficient than ever before.
MLWhiz
APRIL 14, 2019
Chatbots are the in thing now. Every website must implement it. Every Data Scientist must know about them. Anytime we talk about AI; Chatbots must be discussed. But they look intimidating to someone very new to the field. We struggle with a lot of questions before we even begin to start working on them. Are they hard to create? What technologies should I know before attempting to work on them?
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Insight
APRIL 16, 2019
A tuition-free, 7-week professional fellowship designed to be your bridge to a thriving career in security Insight is launching the Insight Security Fellows Program , a professional training fellowship to help systems engineers, software engineers, and data analysts transition into full-time careers as security engineers, data privacy engineers, and advanced security analysts.
Smart Data Collective
APRIL 18, 2019
When the Obama administration authorized the law that would fund the expansion of electronic health records (EHRs), the idea was that this would transform American healthcare. Records would become readily portable and individuals and their doctors would have easy access to this information when it’s needed most. Instead, a decade later, the US government has poured over $36 billion into EHR development and adoption and our healthcare system is as fragmented as ever.
Jet Global
APRIL 15, 2019
Are you spending an inordinate amount of time manually running, refreshing and disseminating reports? Wouldn’t it be great if you could reclaim that time back? Lucky for you there are not one, but two options for automatically refreshing and distributing reports to your users with Jet! Tune into this month’s Success Series webinar to learn how to use the Jet Scheduler and the Jet Hub for automating your reports.
Teradata
APRIL 15, 2019
Katherine Knowles-Marchione explains how US. Bank is using AI to improve and personalize the banking experience.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Andrew White
APRIL 15, 2019
News in today’s US print edition of the Wall Street Journal calls out the growing power of data. Uber, in its IPO document filed with the Securities and Exchange Commission last week, details how the company is collecting data about cab demand as well as food demand (for its UberEats business). In reality the company is profiling the demand for its market like no other transportation service ever has.
Smart Data Collective
APRIL 16, 2019
. The Internet of Things (IOT) is growing at an unprecedented pace. By the end of next year, utility companies are expected to spend around $120 billion on IOT technologies. McKinsey estimates that spending on ICT-based IOT products alone will exceed $580 billion. This means that the annual growth rate for this market will be between 7% and 15%. The changes in the market are clearly impressive.
Jen Stirrup
APRIL 19, 2019
In the book ‘Bad Blood’ by John Carreyou , Theranos founder and CEO Elizabeth Holmes was widely seen as the female Steve Jobs: a brilliant Stanford dropout whose startup “unicorn” promised to revolutionize the medical industry with a machine that would make blood testing significantly faster and easier. Backed by investors such as Oracle’s Larry Ellison and the bitcoin bull and capital investor, Tim Draper, Theranos sold shares in a fundraising round that valued the
Grooper
APRIL 19, 2019
First, let’s define “master data.” Master data is the data that sits at the center of all core business processes and applications. It’s high-confidence, high-integrity (master) data that’s relied on to produce favorable business outcomes.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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