datapine

APRIL 8, 2020

A SQL dashboard is a visual representation of data and metrics that are generated from a SQL relational database, and processed through a dashboard software in order to perform advanced analysis by creating own queries, or using a visual drag-and-drop interface. Comparing Different Time Periods. Comparing To Previous Periods.

Dashboards 209

Dashboards Software Visualization Sales 209

Rocket-Powered Data Science

DECEMBER 15, 2018

If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data. In those intermediate steps it serves as an evaluation (or validation) metric. This challenge is known as the cold-start problem !

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

CIO Business Intelligence

MARCH 3, 2023

A 2018 report by consulting firm Deloitte notes that fans at home often have access to better camera angles, as well as AR/VR, multiplatform, and other multimedia options. Sustainability is all about innovation and business optimization. An oft-cited reason for this decline is increasing competition from home-viewing options.

Data Analytics 95

Data Analytics Analytics Measurement Metrics 95

AWS Big Data

MARCH 29, 2024

This allows IT to evolve from reactive problem-solving to proactive optimization. Furthermore, the event-driven design allowed teams to build stateless services that could seamlessly auto scale based on MSK metrics like messages per second. The following figure illustrates the seamless workflow of adding new domains to our system.

Cost-Benefit 92

Cost-Benefit Data-driven Metrics Management 92

CIO Business Intelligence

JULY 5, 2022

The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit. Optimization: Once trends have been identified and predictions made, simulation techniques can be used to test best-case scenarios.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018?

Data-driven 67

Data-driven Sales Metrics Testing 67

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). Use Birst Pronto to implement the model by creating an R transform step that creates a new metric. This new metric can then be networked into the governed semantic layer. Any business user or analyst can report on this new metric through a report or dashboard.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

BizAcuity

MARCH 8, 2019

Every single line of business in the event industry has employees working in it and needs to think about how to use predictive analytics tools and advancements in optimizing the selection and output of their workforce. Facilitates the company to model, stimulate, report, compare and leverage the most important metrics of Human Resources.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

CIO Business Intelligence

MAY 16, 2022

ITIL 4 contains seven guiding principles that were adopted from the most recent ITIL Practitioner Exam, which covers organizational change management, communication, and measurement and metrics. In 2018, Axelos announced ITIL 4 — a major overhaul to the entire framework and the biggest change since ITIL v3 was published in 2007.

IT 105

IT Cost-Benefit ROI Risk 105

CIO Business Intelligence

AUGUST 12, 2022

in 2016, and BD Advanced Bioprocessing in 2018. For its order-entry automation module, Northstar leans on AI and RPA to optimize data recognition and verification, and to reduce errors and accelerate order cycle times. Since 2006, it has grown with additional mergers and acquisitions, including Life Technologies Corp.

IT 105

IT Data Lake Sales Interactive 105

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

IBM Big Data Hub

MARCH 8, 2024

This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. The 5G rollout began in 2018 with a global initiative known as the 3rd Generation Partnership Project (3FPP) that defined a new set of standards to steer the design of devices and applications for use on 5G networks.

IoT 99

IoT Broadcasting Internet of Things Technology 99

datapine

OCTOBER 21, 2020

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. But with big data tools in healthcare, it’s possible to streamline your staff management activities in a wealth of key areas. click to enlarge**.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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

Alation

MARCH 21, 2023

Some companies struggle to optimize their data’s value and leverage analytics effectively. Below are a few examples: Revenue management and optimization Big data analysis enables companies to make data-driven decisions about pricing based on historical transactional data. What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Smarten

JANUARY 17, 2019

Conversational analytics and natural language processing (NLP) will advance the knowledge and skill of every business user and educate each user in the importance of metrics and analysis, so every business user will become a crucial business asset. Original Post: Why is Natural Language Processing Important to Enterprise Analytics?

Enterprise 40

Enterprise Analytics Forecasting Sales 40

datapine

NOVEMBER 27, 2019

Prescriptive analytics can help you optimize scheduling, production, inventory, and supply chain design to deliver what your customers want in the most optimized way. Building advanced analytics models that can optimize outcomes is one of the latest BI trends that will shape the future of BI. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Insight

JANUARY 14, 2020

Lauren Holzbauer was an Insight Fellow in Summer 2018. Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. We pass 3 parameters: loss, optimizer , and metrics. The goal here is to optimize the weights such that the loss is minimized.

Metrics 58

Metrics Optimization Modeling Testing 58

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Convergence of batch and streaming made easy.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

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. Over the life of the forecast, the data scientist will publish historical accuracy metrics. But due to the long time lag between forecasts and actuals, these metrics alone are insufficient.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Smart Data Collective

DECEMBER 18, 2020

Hackers have turned to exploiting website optimization platform Google Analytics to steal credit cards, passwords, IP addresses and a whole host of compromising information that can be shared by hacked sites. Although you have to request a demo to get started. If you need an enterprise edition, it may come at a dollar.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). What metrics are used to evaluate success? By mid-2018, use of AutoML had captured little interest in enterprise—only a single digit percentage among our respondents for the first survey.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. This is a hyperparameter that can be varied and evaluated extrinsically or intrinsically. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

JANUARY 28, 2020

Gartner reported in 2018 that information executives believed the output and overall value of self-service analytics would exceed that of professional data scientists by 2019. These reports are also static, meaning they only contain the final metrics and totals and not any of the information behind those numbers.

Reporting 49

Reporting Data-driven Software Risk 49

Domino Data Lab

FEBRUARY 10, 2019

Metrics can also increase a lot in the early days of a project and then suddenly hit a wall. But apparently, models trained on text from 2017 experience degraded performance on text written in 2018. On Twitter, two humans might only agree on the sentiment of a tweet 80% of the time. We might expect that.

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for …. One common use case for natural language work is to compare texts. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Sisense

JULY 10, 2019

Even though some more progress was made, in January of 2018, we decided to take a step back and rethink our approach to this project. The Sisense ElastiCube crunches hundreds of millions of records and needs to be highly optimized. Taking Stock and Restarting the Project. Most of this code was in C and C++ and was left that way.

IT 69

IT Testing Technology Sales 69

Domino Data Lab

MAY 8, 2019

2018-06-21). If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Insight

MARCH 28, 2019

For the Fall 2018 session of the Insight Fellows Program in NYC, we launched a new partnership with Thinknum , a company that provides alternative data indexed from the web to institutional investors and corporations? Yanxia then used a combination of quantitative and qualitative metrics to interpret each topic group identified by LDA.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

bridgei2i

MAY 19, 2021

Because once in 2018, I stepped out of my, you know, classical corporate journey, I, as you probably know, I also joined as an advisor with Deloitte. How do you optimize those teams? And what are the changes you’ve seen in the last couple of decades? And therefore, you know, what sort of quality control should you have?

Enterprise 75

Enterprise Digital Transformation Marketing Cost-Benefit 75

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Pierre-Yves Oudeyer (2018). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JULY 22, 2019

The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.” ” If you don’t know, there were hundreds of millions of people affected worldwide during 2018 with security breaches and then data privacy leakage. Machine learning is a subset of mathematical optimization.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109