How Automated Metadata Discovery Can Save You Money


Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business.

What’s Business Process Modeling Got to Do with It? – Choosing A BPM Tool


As part of a data governance strategy, a BPM tool aids organizations in visualizing their business processes, system interactions and organizational hierarchies to ensure elements are aligned and core operations are optimized.

Governance in Healthcare: Ownership and Consistency

Perficient Data & Analytics

The rise of big data, self-service, and more powerful and flexible end-user information visualization and preparation tools, consumer/ member/patient experience is impacting governance in a significant manner with regard to structure, decision rights, and accountabilities.

Top 5 Data Catalog Benefits: Understanding Your Organization’s Data Lineage


With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value


Ability to visualize business and technical database structures through an integrated, graphical model. The chosen data modeling tool should be able to read the technical formats of each of these platforms and translate them into highly graphical models rich in metadata.

What is Data Lineage?


For example, when they’ve got Informatica for their ETL, Oracle for their data warehouse and Tableau for reporting, each of which has its own metadata labeling system managed by different teams, figuring out where a specific data element in a Tableau report came from can be impossible.

How to Choose a Data Governance Tool


As such, your chosen tool must provide data quality management, perform data movement, track modifications of metadata objects, support cascade changes, expose metadata, and be capable of printing visual representations of data lineage.

5 Key Updates from Day 1 of Oracle OpenWorld 2019

Perficient Data & Analytics

The next version of Oracle Analytics Cloud will have a single, unified home screen where the user can access all objects in OAC including Answers reports, Answers dashboards, Data Viz visualizations, Data Sets, Data Flows, etc. Today, Mon Sept 16, was day 1 of Oracle OpenWorld.

5 Key Updates from Day 3 of Oracle OpenWorld 2019

Perficient Data & Analytics

Self Service Analytics which requires no modelling for creating visualizations. Basically, the way it works is the following: Let’s say you are analyzing a visualization in OAC and you see that the store in Paris is low on stock of a particular product.

Research quality data and research quality databases

Simply Statistics

Others, like software to fit a convolutional neural network to a set of images, might require a set of image files organized in a directory in a particular way along with a metadata file providing information about each set of images. When you are doing data science, you are doing research.

Delivering Better Dashboards with Analytic Quality Assurance


Data can contain multiple types of error — they may simply be incorrect or inaccurately entered, they may lack metadata or documentation, or they may be out-of-date. Great analytic dashboards require great data.

Natural Language in Python using spaCy: An Introduction

Domino Data Lab

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").

Refine Your Enterprise’s Approach to AI in 2019

Perficient Data & Analytics

One of the things we found out through the course of that implementation was that they didn’t actually have all of the necessary metadata about their products to make recommendations. 2019 is the year to stop letting obstacles get in the way of enterprise AI adoption.

Data Lakes on Cloud & it’s Usage in Healthcare


Data can be stored as-is, without first structuring it, and different types of analytics can be run on it, from dashboards and visualizations to big data processing, real-time analytics, and machine learning to improve decision making.

AI in Analytics: The NLQ Use Case


NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors.

End-to-End Object Detection for Furniture Using Deep Learning


It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation.

5 Advantages of Datorama for Marketers

Perficient Data & Analytics

Clean and enrich with metadata to create an “insights layer” that allows you to see why things are working. Visualize your story. Create storytelling dashboards that bring your data to life, with rich visuals, creative imagery and insights in a single dashboard view.

MNIST Expanded: 50,000 New Samples Added

Domino Data Lab

Visually examine the poorest matches, trying to understand what the MNIST authors could have done differently to justify these differences without at the same time changing the existing close matches. “track each MNIST digit to its NIST source image and associated metadata”… “These fresh testing samples allow us to precisely investigate how the results reported on a standard testing set suffer from repeated experiments over a long period of time.

Gartner IT Expo: Real Time Data Drives Fanatics Growth

Perficient Data & Analytics

Amit Jain, Director of BI and Data Visualization at Fanatics, spoke on what they are doing to keep the world’s largest seller of licensed sports merchandise, ahead of the competition. Also showed a visualized maps for where orders orginate. Key is the dynamic metadata architecture.

IT 54

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

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. The gist is, leveraging metadata about research datasets, projects, publications, etc.,

Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. Introduction.

New York Data Security Act & Data Mapping


Without an automated metadata management and data mapping solution , your compliance efforts will be largely hopeless. Automated tools provide you with several advantages when it comes to SHIELD compliance: – A visual map of your data environment, including all the places where sensitive data lives, regardless of the field names used.

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange. Adds governance, discovery, and access frameworks for automating the collection, management, and use of metadata. See also the paper “ The Case for Open Metadata ” by Mandy Chessell (2017–04–21) at IBM UK for compelling perspectives about open metadata.

Data Science, Past & Future

Domino Data Lab

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. Paco Nathan presented, “Data Science, Past & Future” , at Rev.

AML: Past, Present and Future – Part III


Cloudera Enterprise also ships with SDX , a unified metadata layer that provides a data catalog, security policies, access logs, and data lineage. This is the third installment in a 3 part series. The first installment provides a short background on anti-money laundering.