FineReport

SEPTEMBER 13, 2021

Performance dashboard is a data visualization tool for management, which is often used to measure employees’ performance, while helping business personnel measure, monitor, and manage the key activities and processes required to achieve business goals. How to reasonably determine the training and promotion of employees?

Dashboards 52

Dashboards Key Performance Indicator Informatics KPI 52

AWS Big Data

MARCH 13, 2024

Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Configure the destination settings with details about the S3 bucket in which the location data is stored, along with the partitioning strategy: Use and to determine the bucket and object prefixes. detail.DeviceId SampleTime: $.detail.SampleTime

Analytics 95

Analytics IoT Metadata Internet of Things 95

AWS Big Data

JUNE 29, 2023

Choose PUBLISH & VISUALIZE. This will take you to the visualization page to create the analysis on QuickSight. Create a governance dashboard with the appropriate visualization type. The following screenshot is a sample visualization created on this data. Choose Validate and Update. Delete the Lambda function.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

Occam's Razor

OCTOBER 15, 2012

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

Advertising 136

Advertising Marketing Strategy Insurance 136

AWS Big Data

FEBRUARY 21, 2024

To run inside the VPC, the jobs needs to be assigned to a single subnet, but the most suitable subnet can change over time (for instance, based on the usage and availability), so you may prefer to make that decision at runtime, based on your own strategy. Switch from Visual to JSON mode and enter the following JSON on the textbox.

Strategy 93

Strategy Management Visualization IT 93

BizAcuity

DECEMBER 31, 2019

There would be no scrapping of the police’s controversial anti-drug strategy Oplan Tokhang but only a retooling, according to Philippine National Police officer-in-charge Police Lieutenant General Archie Francisco Gamboa on Thursday. Both of his touchdowns have come in the past three games, against Oakland and Carolina.

Sales 52

Sales Finance Visualization Strategy 52

AWS Big Data

JULY 17, 2023

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. Follow this post to build your serverless log analytics pipeline, and refer to Top strategies for high volume tracing with Amazon OpenSearch Ingestion to learn more about high volume tracing with OpenSearch Ingestion.

Management 77

Management Analytics Data Processing Metrics 77

Occam's Razor

SEPTEMBER 21, 2015

We are going to discuss a cluster of strategies you can use to ensure that you present your message with radical simplicity and with an incredible focus. Avoid complex visualizations – they get in the way! Don't underestimate the value of this strategy in your storytelling. Make performance comparisons easier!

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

AWS Big Data

MARCH 11, 2024

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. We also showed a reliable strategy to perform incremental streaming data load into Amazon Redshift using Kafka Partition and Kafka Offset.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

OCTOBER 18, 2023

Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). Starting with OpenSearch v2.5 If you have feedback about this post, share it in the comments section.

Snapshot 82

Snapshot Management Dashboards Data Processing 82

Domino Data Lab

APRIL 3, 2019

Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a. DG emerges for the big data side of the world, e.g., the Alation launch in 2012. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smart Data Collective

APRIL 20, 2023

One of the many reasons that they are using big data is to create better content marketing strategies. A content marketing strategy can help businesses establish brand awareness, increase conversions, and connect with their target audience. Why Is Data Important in Content Marketing?

Marketing 78

Marketing Strategy Big Data ROI 78

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 125

Machine Learning Visualization Data Science Metrics 125

Smart Data Collective

SEPTEMBER 17, 2020

Whether you’re locating parks within a five-mile radius or visually communicating the areas in which your business provides service, a radius tool can provide additional organization to your search. In 2012, Google boasted about its capabilities of using big data to create storytelling via interactive maps.

Visualization 130

Visualization Big Data Cost-Benefit Data mining 130

AWS Big Data

DECEMBER 18, 2023

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. His core area of expertise include Technology Strategy, Data Analytics, and Data Science.

Metadata 121

Metadata Visualization Data Lake Data-driven 121

Occam's Razor

DECEMBER 3, 2012

But a robust digital marketing strategy for medium- or large-sized businesses encompasses so much more. What is a good way to self-identify gaps in strategy, to discover the mistakes that might be making your strategy sub-optimal? Is Your Digital Strategy Magnificent? Reality, as is its wont, is much more complex.

Marketing 147

Marketing Advertising Strategy Optimization 147

Insight

JANUARY 14, 2020

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). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). Take a look at this animation from Wikipedia to visualize what is happening: Figure 3?—?animation a “warped wall detector.”

Visualization 72

Visualization Modeling Machine Learning IT 72

Domino Data Lab

AUGUST 8, 2019

He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything. Then rethink your hiring strategies w.r.t. Rinse, lather, repeat—probably each week. Or something. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. A visualization of gradient descent. Figure 7?—?A Figure 8?—?Several

Optimization 85

Optimization Machine Learning Testing Visualization 85

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Figure 4: Visualization of a central composite design. production, default) values.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Sisense

DECEMBER 11, 2019

And he explained that the leap to visual-based data discovery put analytics in the hands of data experts working in different lines of business, rather than in IT, where bottlenecks could previously occur, and reporting could take much longer. From a startup in 2012, it is now valued at $3.2 The impact on customers. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. Which visual analytics tools do you see dominating the big data analytics space? There are quite a number of new implementations that I’ve seen that use Arcadia Data and I think they offer more of the data lake experience in terms of data browsing and data visualizations.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

The Unofficial Google Data Science Blog

MARCH 31, 2016

Thompson sampling is an "explore/exploit" algorithm which was designed for Bayesian models, and its strategy is to randomly select a choice (called an "arm") with probability proportional to the posterior of that choice being the best option. Often our data can be stored or visualized as a table like the one shown below.

Modeling 40

Modeling Statistics Advertising Testing 40

Depict Data Studio

MARCH 31, 2020

You might recognize Jon from our earlier interview about tips for doing and teaching data visualization in cultures other than your own. Which Data Visualization Trends Are Here to Stay? I have learned so much about developing online data visualization training. Want to skim the highlights from our discussion? Keep reading!

Dashboards 103

Dashboards Visualization Reporting Consulting 103

CIO Business Intelligence

FEBRUARY 3, 2023

Much of the work is accomplished by dragging and dropping components in a visual designer, but developers can also adjust the system-generated code in an IDE. IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. This level of discovery can be described and categorized by: Data preparation Visual analysis Guided advanced analytics.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. DataRobot now delivers both visual and code-centric data preparation and data pipelines, along with automated machine learning that is composable, and can be driven by hosted notebooks or a graphical user experience.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Modeling 52