Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Decision Management Solutions

JUNE 25, 2019

Robinson , Chief Strategy Officer, Kinaxis discussed Searching for Unicorns: Attracting and Retaining Analytics Talent. She emphasized the importance to data science teams of business translation and of partnering with domain experts. Finally, Shingai Manjengwa , CEO, Fireside Analytics Inc. DecisionsFirst indeed!

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Smart Data Collective

NOVEMBER 12, 2021

We talked about the benefits of outsourcing IoT and other data science obligations. You should use big data to improve your outsourcing models by data mining pools of talented employees. billion outsourcing tasks in 2019. However, the converse approach can also be useful. Global companies spent over $92.5

Data-driven 105

Data-driven Cost-Benefit Data mining Big Data 105

Smarten

AUGUST 23, 2022

How many donuts were sold in Scottsdale, Arizona during Thanksgiving 2019 and 2018? c) that Az means Arizona and that d) last year was 2019. They can simply ask the question. The system will understand the question and interpret it to provide the right information. Just ask the question…and you will get an answer. It’s that simple.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Sisense

AUGUST 19, 2020

Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Smarten

MAY 18, 2022

Which sales representative sold the most pancake mix during April 2015 to May 2019? Who sold the most cake in Phoenix, Arizona in the last quarter of 2019? Enter a question and receive results based on absolute time, or on a range or relative time period. Sample Date Range Question. Sample Relative Time Period Question.

Data-driven 67

Data-driven Sales Metrics Testing 67

Sisense

JULY 29, 2020

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. COVID-19 hit the trade hard and by March 2020, Soft Stuff experienced a drastic drop in business, falling to 20% of where it had been at the same time in 2019.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

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 313

Enterprise Deep Learning Data Governance Risk 313

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. In hospitals, Clinical Decision Support (CDS) software analyzes medical data on the spot, providing health practitioners with advice as they make prescriptive decisions. 8) Predictive Analytics In Healthcare.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. That line of inquiry led to a predictive analytics project that would famously lead the retailer to inadvertently reveal to a teenage girl’s family that she was pregnant.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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. Cloudera Enterprise Platform as Big Data Fabric. Flexible/Location-agnostic Infrastructure. Enterprises are seeking location transparency.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

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 post Announcing the 2019 Data Impact Awards appeared first on Cloudera Blog. Award Categories.

Machine Learning 55

Machine Learning Data Architecture IoT Metadata 55

Smarten

MARCH 8, 2022

In analytics, NLP is much more useful than the first two options but without the ability to consider context. This approach typically uses column filters and ID to answer basic questions, i.e., ‘what were the sales for white blouses in 2019?’ Users can also use terms like, ‘winter of 2019’ to get results without defining a date range.

Data-driven 67

Data-driven Business Intelligence Sales Analytics 67

Smarten

MAY 11, 2017

Self-Serve Data Preparation provides seamless data access and allows users to discover, transform, mash-up and integrate data for clear analytics. Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. It’s an extension of data mining which refers only to past data.

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

Smarten

JUNE 15, 2022

Ask a question that reveals ‘most’ or ‘least’, ‘high’ or ‘low’: What was the highest temperature in Arizona in 2019 and when did it happen? Ask a question about a point in time without the need for specific dates: How many silk blouses were sold during Christmas season in 2016 vs. 2018?

Analytics 52

Analytics ROI Data-driven Sales 52

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52