datapine

MAY 11, 2022

While pie charts have received a bad rep in recent years, we feel that they form a useful visualization tool that serves up important metrics in an easy-to-follow format. Retail analytics tools allow you to visualize relevant metrics in interactive bar charts such as the one displayed below. c) Pie charts. d) Gauge charts.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

CIO Business Intelligence

MARCH 6, 2024

billion business, and every dollar goes through a set of business processes and applications that didn’t exist in 2017. Look at changing metrics and KPIs as a gift. The metrics you use to measure a cloud company are different than those you use to measure an enterprise license and maintenance company. Today, we’re a $1.6

Modeling 116

Modeling Management IT Metrics 116

Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. This data is obviously important, because the nature of a vehicle and driver demographics will always be part of any sensible risk scoring metric. New machine learning initiatives offer promising opportunities to lower car accidents.

Machine Learning 144

Machine Learning Risk Insurance Predictive Analytics 144

CIO Business Intelligence

NOVEMBER 29, 2022

AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional customer service software suites. The schedules created can be edited or reviewed if needed and once the schedules are published, Amazon Connect notifies the agent and the supervisor that a new schedule has been made available.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

Smart Data Collective

FEBRUARY 1, 2023

A 2017 study from Harvard Medical School discusses some of the changes big data has created for nurses. The bed can also monitor patient activity and provide data on things like heart rate, or even sleep patterns — important metrics that can make a big difference in healthcare outcomes. It’s a big deal. So, what’s out there?

Data Analytics 143

Data Analytics Analytics Big Data Internet of Things 143

datapine

NOVEMBER 27, 2019

Augmented analytics can identify meaningful relationships between certain metrics and various other business variables, generate a dashboard and present the data story in a simple, non-technical manner. from 2017 , and this is one of the business analytics topics we will hear even more in 2020. BN by 2023, with a CAGR of 13.6%

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

Business Over Broadway

DECEMBER 20, 2018

Data Science/Analytics Tools, Technologies and Languages used in 2017. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Jet Global

OCTOBER 8, 2020

And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. A 2017 study by FSN found that businesses which made better use of non-financial data were more than twice as likely to be able to forecast beyond the 12-month time horizon than those that didn’t.

Finance 98

Finance Reporting Forecasting Metrics 98

Jenny Sussin

JUNE 13, 2019

75% of organizations we surveyed have increased their CX technology investment in 2018, as compared to 2017. Organizations are most focused on getting CX metrics right and listening to the Voice of the Customer (VoC) which means investing in customer analytics applications.

Technology 72

Technology Customer Analytics Metrics Sales 72

CIO Business Intelligence

MAY 27, 2024

Case Study: Maersk NotPetya Attack In 2017, shipping giant Maersk was hit by the NotPetya malware , which spread rapidly through its global network, causing a complete shutdown of its IT systems. Speak the Board’s Language Board members are often more attuned to financial metrics and business outcomes than technical jargon.

Cost-Benefit 116

Cost-Benefit Statistics ROI Measurement 116

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

Occam's Razor

DECEMBER 8, 2017

If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. Better than Reach and Brand Lift metrics? First one will be Reach. Ad Recall, Brand Interest, Favorability, Consideration etc.

Broadcasting 123

Broadcasting Measurement Sales Marketing 123

Juice Analytics

APRIL 21, 2019

Collecting good requirements is less about a laundry list of charts and metrics, but an understanding of how information can transform the business from how it exists today. In 2017 I had the opportunity to work on an insurance industry project for the first time. What are the metrics that drive top line revenue?

Insurance 73

Insurance Dashboards Metrics Reporting 73

AWS Big Data

AUGUST 9, 2024

Amazon Redshift at Dafiti Amazon Redshift is a fully managed data warehouse service, and was adopted by Dafiti in 2017. The second checkpoint was in Step 4, if the ETL and ELT processes presented errors or there was a loss of performance compared to the metrics collected from the processes run in DC2. We started with 115 dc2.large

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Also, we noticed that, earlier, the data consisted of only a few metrics, based on which the team classified its customers. According to a Federal Bank report, more than $600 billion of household debt in the U.S. Out of which, $400 billion is delinquent for more than 90 days.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

CIO Business Intelligence

JANUARY 23, 2023

When Strickland joined Wyndham in 2017, he served as a traditional CIO, but he soon expanded his portfolio with vendor management, selling the argument that because IT constituted the bulk of the spend, it made sense to centralize under one organization and management.

Digital Transformation 145

Digital Transformation Technology Management Data-driven 145

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 77

Measurement Metrics Reporting Strategy 77

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” Organizations can accelerate the adoption of data-dependent use cases such as those revealed through our research by having their data in order: using information governance to manage data across its lifecycle through processes, roles, controls, and metrics to collect, organize, use, and secure data.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

CIO Business Intelligence

MARCH 19, 2024

Lynch is among them, for “failure to meet agreed performance goals, including financial metrics.” September 2017: HPE finally sells its software business, of which Autonomy assets make up a small part, to UK-based Micro Focus International. Whitman hires PricewaterhouseCoopers to investigate. November 2012: HP takes an $8.8 billion.

Software 105

Software Sales Unstructured Data Enterprise 105

Decision Management Solutions

JUNE 4, 2021

Define the metrics or key performance indicators (KPIs) they want to improve: But analytics cannot magically improve metrics—they can only tell you if your analytic investment was worthwhile. 1 MIT Sloan Management Review September 06, 2017. Focusing on decision-making changes everything.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Data Science 101

MAY 6, 2019

This was released as MBUX in 2017 and that was a pretty cool project because there were a lot of challenges that you wouldn’t normally have to solve if you had access to a massive data set or connectivity. We pulled questions from some of our Springboard students and this one is from Miguel, who is in our data science vertical.

Data Science 98

Data Science Machine Learning Modeling Testing 98

Sisense

MARCH 25, 2020

According to a 2017 survey that polled 1,000 professional software developers from the United States and Great Britain, 41% of respondents cited “waiting for other people to do stuff” and “meetings where I mostly remain silent” (40%), as their biggest time-wasters. Overcoming workplace time-sucks.

Dashboards 75

Dashboards Visualization Reporting Finance 75

Rita Sallam

NOVEMBER 11, 2016

What’s on Deck for 2017? This new engine will replace the.TDE by end of 2017. Nearer-term in 2017, Tableau’s Live Query Agent features will be the most important. Users will also be able to define and monitor metrics and alerts to changes based on defined or dynamic thresholds. Enterprise Features. Tableau for Linux!!

Visualization 49

Visualization Machine Learning Metrics Enterprise 49

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” In order to get from here to there, insurance companies need to focus on data management.

Insurance 59

Insurance Digital Transformation Internet of Things IoT 59

Sisense

JULY 10, 2019

As of 2017, Linux was running 90% of the public cloud workload. Given this importance, we made it an organizational priority to invest in a Sisense on Linux deployment in late 2017. When I was tasked with the responsibility of building a Sisense Linux deployment in late 2017, a few small steps had already been taken.

IT 69

IT Testing Technology Sales 69

Insight

MARCH 25, 2019

Bugs in a third-party CDN provider’s system, such as this one from 2017, can have serious implications for the security and privacy of your users. In order to achieve this, a monitoring solution would be needed to monitor a chosen metric. When this metric reaches a predefined threshold in a region, infrastructure can be dismantled.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

Smarten

APRIL 24, 2019

Augmented Analytics allows organizations to integrate data from numerous data sources and to use that data to analyze and display results in a clear manner so the business can make unbiased decisions and establish objective metrics. Users can compare results against plans and forecasts.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

Smarten

JANUARY 7, 2020

Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization. How is Modern BI Different From Traditional BI?

IT 52

IT Business Intelligence ROI Reporting 52

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

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

As a result, selecting knots according to the quantiles of the input data (or even linearly across the domain), and then steadily increasing their number as long as the metrics improve works well in practice. More knots make the learned feature transformation smoother and more capable of approximating any monotonic function. Pfeifer, J.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. 2] Bayraktar, Erhan and Munk, Alexander, Mini-Flash Crashes, Model Risk, and Optimal Execution (May 27, 2017). ABM generated synthetic data can be useful in situations where historical data is insufficient or unavailable. Intraday VaR. Citations. [1]

Risk 99

Risk Marketing Risk Management Data-driven 99

CIO Business Intelligence

MAY 24, 2023

Heavy investment for us in cloud, though, really started in 2017 when we launched our redesigned, cloud-based, cloud-native central reservation system called ChoiceEdge. And then at the back end of this, how to drive accountability, leveraging the metrics you’re gathering and what goals you’re going to set.

Cost-Benefit 52

Cost-Benefit Digital Transformation Metrics Insurance 52

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Statistics 49

Statistics Metrics Data Quality Measurement 49

Smarten

JANUARY 17, 2019

For example, a business user might create the following search using natural language: ‘how did John Smith’s product sales in 2017 compare to his product sales in 2016?’.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

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

AWS Big Data

AUGUST 7, 2023

The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. For this post, we use a modified version of the individual household electric power consumption dataset. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E. UCI Machine Learning Repository [ [link] ].

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98