Sisense

MARCH 31, 2019

Business intelligence implementation can seem like a daunting task at the outset. There are so many moving parts, needs, and requirements that finding the right starting point may feel like a shot in the dark. However, one of the most important aspects of running a successful business intelligence project is finding the right starting point. Clear starting points can help you launch new projects faster and acclimate to your platform’s tools.

Dashboards 75

Dashboards Business Intelligence ROI Testing 75

Jen Stirrup

APRIL 2, 2019

Marketing is viewed as a key strategic participant in achieving the goals of businesses, both large and small. I thought I’d share how we started to apply marketing theory, practice, and insights from data. There are tons of ‘skate on the surface’ marketing soundbite books, which may sound good at the first glance with no depth. But it’s quite a different thing to work at it so you really know it, practice it, and can share it with other people so it is authentic.

Marketing 61

Marketing Advertising Data-driven Strategy 61

TDAN

APRIL 2, 2019

Bureaucracy was known to be the plague of the USSR, but has recently become a heavy burden for private companies. New regulations such as Sarbanes-Oxley, Dodd-Frank, and GDPR, spanning all functions from HR to accounting to product labelling to vendor certifications, are constantly put in place by various states where companies operate. These rules have […].

Data Strategy 40

Data Strategy Business Intelligence Big Data Strategy 40

Srividya Sridharan

APRIL 4, 2019

Insights come in many flavors. Customer insights. Consumer insights. Competitor insights. Market insights. Company insights. Operational insights. Process insights. Sales insights. Marketing insights….you get the drift. All types of enterprise data (big, medium, small and petite), as well as external data fuel these insights and make you smarter about how you engage with your customers, […].

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Sales Marketing Enterprise B2B 94

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Dataiku

APRIL 2, 2019

According to Forbes , as of 2018, only 11 percent of small and medium businesses (SMBs) use AI, and 41 percent feel that it’s too complex for their needs. But AI and machine learning don't need to be complex, and the first wave of SMBs to embrace these technologies will undoubtedly get ahead (in a big way).

Machine Learning 81

Machine Learning IT Technology Enterprise 81

Analytics Vidhya

MARCH 31, 2019

Introduction What’s the first thing you do when you’re attempting to cross the road? We typically look left and right, take stock of the. The post Computer Vision Tutorial: A Step-by-Step Introduction to Image Segmentation Techniques (Part 1) appeared first on Analytics Vidhya.

Analytics 307

Analytics Deep Learning 307

David Menninger's Analyst Perspectives

APRIL 5, 2019

I am happy to offer some insights on Oracle 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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Analytics IT Business Intelligence ROI 111

Corinium

APRIL 3, 2019

Ahead of GeoInsurance USA , taking place in the W Hoboken, NJ on June 11-12 we caught up with Jim Schweitzer to find out what motivates him to do what he does and how he found himself working for the National Insurance Crime Bureau. What would you say most motivates you to do what you do? The opportunity to provide a valuable service to first responders during times of great need to the benefit of the public.

Insurance 150

Insurance 150

Analytics Vidhya

APRIL 3, 2019

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.

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Machine Learning Analytics Deep Learning Data Science 295

Juice Analytics

APRIL 4, 2019

Preet Bharara, former United States Attorney for the Southern District of New York, shared some thoughts on writing his new book "Doing Justice" (from the New York Times Book Review podcast — starts at 21:30). These lessons mirror the challenges we see when we think about the distinction between making good visualizations and crafting data stories. Anything of length is difficult in a different way.

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Visualization IT 108

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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?

Business Intelligence

Jenny Sussin

APRIL 1, 2019

Customer experience (CX) is not the just CRM rebranded, and this is something which is often misunderstood in the marketplace. Some of that is likely due to providers renaming their CRM solutions to something CX-related, some of it is because both start with “C, Customer.” But so do Artificial Sweetener and Artificial Intelligence. Or perhaps Banana Split and Banana Pancake, because they use the same special ingredient but are two different things.

Strategy 108

Strategy Technology Customer Analytics IT 108

Corinium

APRIL 3, 2019

Ahead of GeoInsurance USA , taking place in the W Hoboken, NJ on June 11-12 we caught up with Yosha DeLong to find out what motivates her to do what she does and how she found herself at Zurich North America. What would you say most motivates you to do what you do? Cyber is an emerging and ever changing field and threat. I want and need to be informed, educated and a resource for my company on this peril.

Insurance 150

Insurance IT 150

Smart Data Collective

APRIL 2, 2019

Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequate storage.

Data Processing 103

Data Processing Big Data Marketing Data-driven 103

David Menninger's Analyst Perspectives

APRIL 1, 2019

I am happy to share some insights gleaned 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: Embedded Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

Analytics 100

Analytics Business Intelligence ROI Software 100

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Data-driven

Teradata

APRIL 3, 2019

In his blog, Bob McQueen defines smart cities, their challenges and opportunities, and the use of smart data management.

Management 86

Management 86

Corinium

APRIL 1, 2019

Corinium is pleased to announce the launch of The Top 20 Influencers in GeoInsurance | Americas Effective use of Geospatial Data and Technology within the Insurance and Reinsurance Industry allows for comprehensive insight and competitive pricing. With an array of information available to the industry, insurance premiums are created with the use of decision-shaping information such as; location and environmental factors as well and not limited to meteorological information.

Insurance 150

Insurance Technology Analytics 150

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics w

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Data Lake Big Data OLAP Testing 88

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. Introduction. Welcome back to our monthly burst of themes and conferences. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Data Governance Machine Learning Metadata Data Science 84

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.

Marketing

Sisense

APRIL 2, 2019

What is DevOps? Is it technology? Is it a process? No, DevOps is much more than that. DevOps can be considered a concept, a culture, a development, and operational philosophy, and a movement. It’s also shaping the way BI and Analytics are deployed. The DevOps movement started to come together sometime between 2007 and 2008. This is when IT operations and software development communities started to talk about problems in the software industry, specifically around the traditional software developm

Software 80

Software Testing Enterprise IT 80

Corinium

APRIL 1, 2019

Behind the boom in data and analytics, is a thriving collection of data driven leaders. With technologies such as Artificial Intelligence and Machine Learning now entering the mainstream, organizations need to ensure they have top talent leading their data and analytics projects. Part 1 of Corinium ‘The Top 100 Innovators in Data and Analytics 2019 | Americas’ The third compilation from Corinium covers 100 of today’s innovators in data and analytics.

Analytics 150

Analytics Data-driven Machine Learning Technology 150

Smart Data Collective

APRIL 2, 2019

Machine learning is having a major impact on countless industries across the globe. The energy sector is a prime example. The energy and utilities sector is essential to the global economy. The production and consumption of energy resources is imperative for powering nations and business sectors, including transportation and manufacturing. According to an analysis by CB Insights, machine learning and AI are having a large impact on this industry in many ways.

Machine Learning 88

Machine Learning Internet of Things Digital Transformation IoT 88

Jet Global

APRIL 2, 2019

Artificial Intelligence is coming for the enterprise. Long the domain of science fiction and dystopian movies, computers that are capable of simulating human intelligence are poised to have a transformative impact on the business world over the next decade, and as investment dollars flow in and use cases are proven out, that impact only stands to increase.

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Enterprise OLAP Business Intelligence Internet of Things 80

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Reporting

Andrew White

APRIL 5, 2019

An oft heard inquiry from clients is, “What is the right metric to use?” The context might be for: Defining data quality. Reporting the business impact of a data governance initiative. Monitoring the progress of a digital or data-driven transformation. In all cases the assumption is that there is a definitive metric or key performance indicator (KPI).

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Metrics Key Performance Indicator KPI Marketing 80

Ontotext

APRIL 4, 2019

Source: Economy.bg. On March 19, 2019, Economy.bg interviewed Milena Yankova, Head of Research and Innovation for Ontotext. The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Learn about how machines can and do help people to be more efficient and more creative.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Smart Data Collective

APRIL 5, 2019

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way. The property industry is one of the best examples of an industry that is using data analytics to its advantage.

Data Analytics 84

Data Analytics Management Analytics Advertising 84

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. But despite this fact, enterprises often face push back when implementing a new data governance initiative or trying to mature an existing one. Let’s assume you have some form of data governance operation with some strengths to build on and some weaknesses to correct.

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Data Governance Data Quality Risk Management Data-driven 75

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.

Business Intelligence

Sisense

APRIL 3, 2019

My grandfather was a man of few words. But on one particular issue, he had something to say and he expected you to listen. “Never trust a Swede.”. Now, I know for a fact that Grandpa Tore didn’t care about international song competitions. He served in the Norwegian armed resistance and immigrated from Norway to America after WWII. His passions in life included crossword puzzles and smoked herring on rye.

Visualization 75

Visualization Dashboards Reporting Interactive 75

Grooper

APRIL 1, 2019

VIA - Defining The Language of Information. The digital enterprise thrives when the workforce speaks “data.” The success of digital transformation, data and analytics projects, and data-driven solutions depends on a new kind of literacy - data literacy. In fact, data literacy is a key trigger for innovation.

Digital Transformation 75

Digital Transformation Data-driven Enterprise Analytics 75

Smart Data Collective

APRIL 5, 2019

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. It gives brands better insights into their customer behavior, which helps them reach them more effectively. Social listening tools are a prime example of this application. The Complex Role Between Big Data and Social Listening Tools. Social media is a critical piece of the marketing puzzle for every brand today, regardless of the industry you’re in.

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Big Data Interactive Data-driven Metrics 82

The Data Visualisation Catalogue

APRIL 4, 2019

Below is a guest post from Andy Maggio, the founder of DataView VR. He’s here to explain his vision of the future with dashboards and workspaces from utilising virtual reality (VR) technology. Andy will also demonstrate how VR can be useful in multi-dimensional data analysis and in the financial industry. During my 14 years at Morgan Stanley as an investment analyst, by far my biggest challenge was trying to process the incredible amount of data and information that was available to me daily.

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Dashboards Predictive Modeling Visualization Modeling 74

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.

Data-driven