Sisense

JULY 29, 2020

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. Luma Health is a software platform offering healthcare providers with a means to communicate with patients, while enabling providers to optimize their scheduling.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Alation

SEPTEMBER 14, 2021

In addition, we can define your metrics and success measurements, so you know when you have achieved your desired business outcome. Modern governance practitioners recognize that governance is an ongoing, continuous process, with ample opportunity to improve and optimize at every step. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

Occam's Razor

APRIL 15, 2019

During 2019, our Net Promotion Score has dropped 15 points. In 2019, we can measure the crap out of so much. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). The conversion rate is down 30% at launch. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

datapine

DECEMBER 11, 2019

2019 was a breakthrough year for the SaaS world in many ways. Indeed, according to Bloomberg, public cloud platforms, business services, and applications (SaaS) will all grow at a 9% CAGR (Compound Annual Growth Rate) between 2019 and 2023, and worth $60.36 A Betterbuys report reveals that the specific expenditure in the U.S.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Sisense

JULY 10, 2019

A couple of weeks ago, we officially launched the Cloud-Native Sisense on Linux deployment after a successful beta release cycle that kick-started in Spring 2019. The Sisense ElastiCube crunches hundreds of millions of records and needs to be highly optimized. As of 2017, Linux was running 90% of the public cloud workload.

IT 69

IT Testing Technology Sales 69

datapine

OCTOBER 21, 2020

Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. By working with the right HR analytics , it’s possible for time-stretched medical institutions to optimize staffing while forecasting operating room demands, streamlining patient care as a result.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Observe, optimize, and scale enterprise data pipelines. . A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Acquired by DataRobot June 2019). Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

John Wheeler

NOVEMBER 25, 2020

IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Offer capabilities to analyze business impacts at all levels of the organization by linking both strategic and tactical risk metrics. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

AWS Big Data

MARCH 29, 2024

This allows IT to evolve from reactive problem-solving to proactive optimization. This approach enabled our engineering organization to scale rapidly from just 4–5 teams in 2019 to over 40 teams and approximately 350 engineers today. The following figure illustrates the seamless workflow of adding new domains to our system.

Cost-Benefit 89

Cost-Benefit Data-driven Metrics Management 89

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. While the discussion is about methods and applications, the blog also contains pointers to research papers and to the TensorFlow Lattice package that provides an implementation of these solutions.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Sisense

FEBRUARY 24, 2021

In fact, in a 2019 edition of Industrial Management & Data Systems, a research team led by Yu Nie noted that prior to the year 2000, there were only six chief data officers in the world. Whatever a company does, how it uses data is a key differentiator in its success or failure. The role is a relative newcomer to the boardroom.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Insight

MARCH 25, 2019

In this blog post, I discuss the design and implementation of kubeCDN , a tool designed to simplify geo-replication of Kubernetes clusters in order to deploy services with high availability on a global scale. This level of infrastructure cost optimization can be crucial when budgets are tight to ensure maximum profitability.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Over the life of the forecast, the data scientist will publish historical accuracy metrics.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Challenges for Transparency ”. Adrian Weller (2017-07-29). “ Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Alation

FEBRUARY 8, 2022

In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. In this blog, we’ll do the same with data mesh, unpacking the four key pillars, with a few notes on the role of the data catalog.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

datapine

FEBRUARY 23, 2023

In our example above, we are showing Revenue by Payment Method for all of 2019. The metrics are different and useful independently, but together, they tell a compelling story. Other considerations Progress charts are very straightforward and don’t provide a lot more information than the development of a metric.

Visualization 177

Visualization Dashboards Sales Measurement 177

erwin

JANUARY 31, 2019

Experts predicted an uptick in GDPR enforcement in 2019, and Google’s recent record GDPR fine has brought that to fruition. Cisco’s 2019 Data Privacy Benchmark Study reveals that only 59 percent of organizations are meeting “all or most” of GDPR’s requirements. If it can happen to Google, no organization is safe.

Data Governance 72

Data Governance Metadata Cost-Benefit Enterprise 72

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. Interactive media plays a much larger role in our work than merely the presentations or blog posts. I took this tangent for two reasons. ethics in AI. Yuri Burda, et al.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. We still live in an world where we are optimize for single visit sessions. No, you are smarter than that.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. What VCs want from startups. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Business Over Broadway

DECEMBER 20, 2018

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Cloudera

MAY 22, 2019

If you’re aiming for a finalist spot, be sure to include details and metrics around the business impact of your data project and results achieved. The 2019 Data Impact Awards recognize organizations’ achievements with the Cloudera platform in seven categories: DATA FROM THE EDGE-TO-AI. Award Categories. DATA ANYWHERE.

Machine Learning 55

Machine Learning Data Architecture IoT Metadata 55

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. Prescriptive analytics can help you optimize scheduling, production, inventory, and supply chain design to deliver what your customers want in the most optimized way. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

These analytics use optimization and simulation algorithms to advise on possible outcomes and answer: “What should we do?” As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. Prescriptive Analytics: What should we do? Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Sisense

NOVEMBER 5, 2021

Back in 2019, when we started revamping our analytics program, we had a few goals aimed at evolving the business at the enterprise level, including having a timely and accurate understanding of vital KPIs as well as driving collaboration between operational and transactional data.

Analytics 52

Analytics Data-driven Reporting Interactive 52