Smart Data Collective

NOVEMBER 12, 2021

billion outsourcing tasks in 2019. While hiring outside your business’s home country does carry some added risk, you can minimize this through research of international hiring guides and investing in partnerships. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

Smart Data Collective

SEPTEMBER 15, 2019

However, you will have a hard time getting by without a sound big data strategy in 2019. Choosing a niche with big data and predictive analytics. You can use big data and predictive analytics to gauge trends in the music industry and see what will be popular in the future. Here are some ways big data can help.

Big Data 78

Big Data Optimization Insurance Predictive Analytics 78

Smart Data Collective

JULY 22, 2019

A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! They use a variety of machine learning and predictive analytics models to target new marks and reach them more effectively. Cyberattacks are becoming more prevalent these days. Social engineering is used in many online scams.

Machine Learning 69

Machine Learning Predictive Analytics Consulting Data-driven 69

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. That being said, people are increasingly aware of things like phishing attacks and most people know that email links and attachments could pose a risk. Big data is the lynchpin of new advances in cybersecurity.

Big Data 85

Big Data Data Processing Machine Learning Predictive Analytics 85

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 According to Statista, the global influencer marketing market value has more than doubled since 2019, standing at around 13.8 Predictive Analytics. Gaming analytics is still evolving. billion U.S.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Smart Data Collective

DECEMBER 5, 2019

Predictive analytics will be used much more in airline marketing in the months to come. Still, from late 2018 on through 2019, many commercial airlines have ceased operations. Larger operations mean new costs, new competition, unforeseen logistical risks, and new pricing strategies.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

datapine

OCTOBER 21, 2020

If you put on too many workers, you run the risk of having unnecessary labor costs add up. Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. Chronic insomnia and an elevated heart rate can signal a risk for future heart disease for instance.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Sisense analytics became a critical tool to enable such a pivot.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In a similar vein, in 2018 Forrester split apart its “Wave” for predictive analytics products into two distinct Waves. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

Enterprise 316

Enterprise Deep Learning Data Governance Risk 316

datapine

MAY 9, 2019

The fact is, without business intelligence, you risk the very real possibility of drowning in data. We have already entered the Zettabyte era, also mentioned as one of our tech buzzwords for 2019, and, for scale, in 2012, the entire Internet only contained ½ of one zettabyte in data. quintillion bytes of data produced daily.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

BizAcuity

MARCH 31, 2022

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The algorithm learned to identify children, not high-risk patients. Healthcare algorithm failed to flag Black patients.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Sisense

JUNE 30, 2020

Prescriptive analytics takes things a stage further: In addition to helping organizations understand causes, it helps them learn from what’s happened and shape tactics and strategies that can improve their current performance and their profitability. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Smart Data Collective

DECEMBER 19, 2019

© Statista 2019 Also, here is a list of some other stats. The feedback gathered from the respondents pointed out the following potential risks associated with implementing AI to handle cybersecurity threats. Now, the real challenge becomes to overcome all these potential risks. That is what I’m going to cover here.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Cloudera

JANUARY 22, 2019

The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics. Forrester acknowledges Cloudera (as well as Hortonworks, which merged with Cloudera in January 2019) as being among the top 15 providers of Big Data Fabric**.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. The 2019 Data Impact Awards recognize organizations’ achievements with the Cloudera platform in seven categories: DATA FROM THE EDGE-TO-AI.

Machine Learning 56

Machine Learning Data Architecture IoT Metadata 56

Smart Data Collective

JUNE 30, 2023

According to a 2019 survey by Debt.com , 33% of Americans don’t maintain a budget, but since the pandemic, that number has decreased. They Use predictive analytics technology to better anticipate possible emergencies and the expected costs associated with them.

Insurance 80

Insurance Finance Cost-Benefit Strategy 80

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2019 was a particularly major year for the business intelligence industry. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. It will help to eliminate some of the development risks.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52