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. The operational data is processed using SAP HANA Cloud and visualized with SAP Analytics Cloud.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Source: Gartner (April 2018). Use Birst Pronto to implement the model by creating an R transform step that creates a new metric.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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

datapine

MARCH 20, 2019

Utilizing financial data with the help of online data analysis tools allows you to not only share vital information both internally and externally but also leverage metrics or insights to make significant improvements to the very area that allows your business to flow. Download right here your bite-sized summary of the finance world!

Reporting 248

Reporting Finance Snapshot Dashboards 248

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio. Let me draw that out for you.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Smarten

JANUARY 17, 2019

They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Jet Global

AUGUST 14, 2019

Chances are good that your average non-technical sales agent or purchasing representative will have difficulty joining multiple tables together with a standard report, but with Business Intelligence cubes, all that is required drag and drop the metrics and dimensions that matter to them into their own personalized dashboard.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

O'Reilly on Data

APRIL 19, 2021

In contrast, in our 2018 report, Asia was behind in mature practices, though it had a markedly higher number of respondents in the “early adopter” or “exploring” stages. When asked which tools they planned to incorporate over the coming 12 months, roughly half of the respondents answered model monitoring (57%) and model visualization (49%).

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Jet Global

OCTOBER 2, 2019

Chances are good that your average non-technical sales agent or purchasing representative will have difficulty joining multiple tables together with a standard report, but with Business Intelligence cubes, all that is required drag and drop the metrics and dimensions that matter to them into their own personalized dashboard.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Insight

JANUARY 14, 2020

Lauren Holzbauer was an Insight Fellow in Summer 2018. CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). We pass 3 parameters: loss, optimizer , and metrics. Does anything look fishy to you…? Why use a CNN?

Metrics 58

Metrics Optimization Modeling Testing 58

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

datapine

OCTOBER 21, 2020

Summing up the product of all this work, the data science team developed a web-based user interface that forecasts patient loads and helps in planning resource allocation by utilizing online data visualization that reaches the goal of improving the overall patients’ care. 2) Electronic Health Records (EHRs). click to enlarge**.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Depict Data Studio

FEBRUARY 14, 2022

Mental Health America of Greater Houston’s (MHAGH) Center for School Behavioral Health (CSBH) received a two-year grant from the Rebuild Texas Fund in 2018 to help 9 school districts in the Greater Houston Area address emerging behavioral health needs from Hurricane Harvey and improve their ability to respond to future disasters.

Dashboards 98

Dashboards Reporting Visualization Metrics 98

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. The year 2018 was what Wall Street Journal called “ a global reckoning on data governance.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rita Sallam

NOVEMBER 11, 2016

The vision revealed in the keynote had an unmistakable emphasis on the enterprise, but as the market for visual-based data discovery is mainstreaming, Tableau also laid a foundation for building a next generation, ‘smart’ BIA platform. What’s on Deck for 2017? Enterprise Features. Tableau for Linux!! Tableau for Linux!! Time will tell.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Domino Data Lab

MAY 8, 2019

2018-06-21). On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. Business stakeholders cannot rely on visualizations to interpret the ML models that their data science teams produce.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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? Note how model visualization is bubbling up to the top, which has implications for model interpretability, cyber threats, etc. Who builds their models?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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

Jet Global

MAY 27, 2021

FireFox: September 2018. Reporting and visual analysis. Summarize masses of data into easy-to-consume visualizations and dashboards, with the ability to drill down to transaction level. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”. Chrome: September 2015. Cairn Energy.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

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? I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 22, 2019

Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. We like the ROC AUC for two reasons: It blends together two useful metrics—true positive rate and false positive rate—into a single summary value. we do not need to consider all of the dimensions. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

OCTOBER 23, 2019

One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic. R has yet one more way to visualize these relationships in multiple dimensions. Finally, a video and slides on this topic can be found on the Strata Data Conference 2018 San Jose schedule.

Statistics 59

Statistics Machine Learning Testing Modeling 59

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. First, the “research” behind the NPS claims is flawed.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Depict Data Studio

SEPTEMBER 15, 2020

On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization. My specialty, though, is data visualization.

Visualization 105

Visualization Consulting Dashboards Reporting 105

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110