ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists. .

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists. .

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists. .

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. The opening keynote address provided a volley of thunder, and featured great videos, drama, and (surprisingly) those short movies had some actors who are real Gartner employees.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. The opening keynote address provided a volley of thunder, and featured great videos, drama, and (surprisingly) those short movies had some actors who are real Gartner employees.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Ted Friedman was dressed in traditional Karate garb, and Kurt Schlegel gave the event a real punch, while Rita Sallam was, as always, at her best. But, the Chairman of the event, Bhavish Sood assured us at the end of the session that Gartner has no intention of getting into the movie business. Big Data Discovery – Rita Sallam.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

AUGUST 8, 2017

The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take.

Predictive Analytics 130

Predictive Analytics E-Commerce Data Discovery Big Data 130

ElegantJ BI

AUGUST 8, 2017

The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take.

Predictive Analytics 130

Predictive Analytics E-Commerce Data Discovery Big Data 130

ElegantJ BI

AUGUST 8, 2017

The common understanding of the world is that one should use predictive and prescriptive data on big data. A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take.

Predictive Analytics 130

Predictive Analytics E-Commerce Data Discovery Big Data 130

ElegantJ BI

JUNE 16, 2017

The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. The 2017 Gartner Summit was the third event I attended and it was impeccably organized and run, with great sound and lighting and informative, exciting presentations. I want to thank those who visited our booth.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

ElegantJ BI

JUNE 16, 2017

The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. The 2017 Gartner Summit was the third event I attended and it was impeccably organized and run, with great sound and lighting and informative, exciting presentations. I want to thank those who visited our booth.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

ElegantJ BI

JUNE 16, 2017

The theme for 2017 was Information & Analytics Leadership: Empowering People with Trusted Data. The 2017 Gartner Summit was the third event I attended and it was impeccably organized and run, with great sound and lighting and informative, exciting presentations. I want to thank those who visited our booth.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Digital Transformation 130

ElegantJ BI

OCTOBER 17, 2018

The Paired Sample T Test used to determine whether the mean of a dependent variable and is particularly useful in measuring results before and after a particular event, action, process change, etc. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Business Analysis 130

Business Analysis Business Analysis Data Discovery Logistics 130

ElegantJ BI

OCTOBER 18, 2018

Support: The support of a rule x -> y (where x and y are each items/events etc.) is defined as the proportion of transactions in the data set which contain the item set x as well as y. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. of transactions.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 17, 2018

The Paired Sample T Test used to determine whether the mean of a dependent variable and is particularly useful in measuring results before and after a particular event, action, process change, etc. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users.

Business Analysis 130

Business Analysis Business Analysis Data Discovery Logistics 130

ElegantJ BI

OCTOBER 18, 2018

Support: The support of a rule x -> y (where x and y are each items/events etc.) is defined as the proportion of transactions in the data set which contain the item set x as well as y. The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. of transactions.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

ElegantJ BI

OCTOBER 17, 2018

The Paired Sample T Test used to determine whether the mean of a dependent variable and is particularly useful in measuring results before and after a particular event, action, process change, etc. Paired Sample T testing can be applied only to two samples: one measure and one time dimension. About Smarten.

Business Analysis 130

Business Analysis Business Analysis Data Discovery Logistics 130

ElegantJ BI

OCTOBER 18, 2018

Support: The support of a rule x -> y (where x and y are each items/events etc.) is defined as the proportion of transactions in the data set which contain the item set x as well as y. So, Support (x -> y)= no. of transactions which contain the item set x & y / total no. of transactions. About Smarten.

Business Analysis 130

Business Analysis Business Analysis Banking Data Discovery 130

Tableau

APRIL 12, 2021

Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja. Product Manager, Tableau Prep. Kristin Adderson.

Data Quality 104

Data Quality Monitoring Data Discovery Data Management 104

Analysts Corner

JANUARY 12, 2023

Million in revenue due to a single non-compliance event. They can locate the data needed for compliance purposes with the help of data discovery software. Also, data governance results in the establishment of standards around data elements and data entities.

Data Quality 130

Data Quality Data Governance Government IBM cost 130

ElegantJ BI

JUNE 13, 2017

And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. As I write, you and I are also reading the news splattered all over the media, that technology jobs are being reskilled and leading to some job losses. I am using Area sales manager in Insurance as an example.

Banking 195

Banking Logistics Finance Planning 195

Tableau

FEBRUARY 3, 2022

We recognized at the onset of the project there was one key challenge: many of us had never seen these sports in action, let alone analyzed relevant data from these sports. As with any customer, data discovery calls were essential. Data lessons learned.

Visualization 107

Visualization Government Data Discovery Data Analytics 107

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data.

Embedded Analytics 80

Embedded Analytics Big Data Data Discovery Innovation 80

ElegantJ BI

AUGUST 25, 2021

2. Smarten SSDP (Self-Serve Data Preparation) truly makes Analytics Self-Serve! Smarten SSDP is a crucial component of Advanced Data Discovery, enabling sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage.

Banking 130

Banking Data Discovery Big Data Planning 130

ElegantJ BI

AUGUST 25, 2021

2. Smarten SSDP (Self-Serve Data Preparation) truly makes Analytics Self-Serve! Smarten SSDP is a crucial component of Advanced Data Discovery, enabling sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage.

Banking 130

Banking Data Discovery Big Data Planning 130

Tableau

FEBRUARY 3, 2022

We recognized at the onset of the project there was one key challenge: many of us had never seen these sports in action, let alone analyzed relevant data from these sports. As with any customer, data discovery calls were essential. Data lessons learned.

Visualization 98

Visualization Government Data Discovery Data Analytics 98

ElegantJ BI

JULY 6, 2011

ElegantJ BI sponsors a Business Intelligence Conference event as the Silver Partner , organized. by Silicon India on 30th July 2011 at Bangalore from 8:00 a.m. to 6:00 p.m. This BI conference will be focusing on Business Intelligence aspects with two tracks – Track I is Technical and Track II is Customer Business Value.

Business Intelligence 100

Business Intelligence Business Intelligence Healthcare Banking 100

ElegantJ BI

JUNE 13, 2017

And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. As I write, you and I are also reading the news splattered all over the media, that technology jobs are being reskilled and leading to some job losses. I am using Area sales manager in Insurance as an example.

Banking 130

Banking Logistics Finance Planning 130

ElegantJ BI

JUNE 13, 2017

And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. As I write, you and I are also reading the news splattered all over the media, that technology jobs are being reskilled and leading to some job losses. I am using Area sales manager in Insurance as an example.

Banking 130

Banking Logistics Finance Planning 130

ElegantJ BI

APRIL 3, 2011

ElegantJ BI sponsors a Business Intelligence Conference event as the Gold partner , organized by Silicon India on 16th April 2011 at Mumbai from 8:00 a.m. to 6:00 p.m.

Business Intelligence 100

Business Intelligence Business Intelligence Product Management Product Management 100

ElegantJ BI

SEPTEMBER 12, 2011

ElegantJ BI sponsors a Business Intelligence Conference event as the Gold Partner , organized by Silicon India on 24th September 2011 at Hyderabad from 9:00 a.m. to 4:30 p.m.

Business Intelligence 100

Business Intelligence Business Intelligence Innovation Product Management 100

Tableau

APRIL 12, 2021

Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja. Product Manager, Tableau Catalog. April 14, 2021.

Data Quality 52

Data Quality Monitoring Data Discovery Data Management 52

Sisense

FEBRUARY 9, 2021

Valentine’s Day isn’t just the most romantic holiday of the year, it’s also a huge economic event undergirded by immense volumes of data. When factoring in the long-term revenues of a hotel chain, insights like these, gleaned from years of collected data, are vital. Head over heels in love — with data.

E-Commerce 98

E-Commerce Supply Chain Retail Logistics 98

The BAWorld

NOVEMBER 8, 2024

It is described using methods like drill-down, data discovery, data mining, and correlations. To identify the underlying causes of occurrences, diagnostic analytics examines data more closely. It is helpful in figuring out what events and variables led to the result.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

Tableau

AUGUST 21, 2023

Catalog Enhanced data trust, visibility, and discoverability Tableau Catalog automatically catalogs all your data assets and sources into one central list and provides metadata in context for fast data discovery. You can also use this to monitor events such as extract data source refresh failure and flow run failure.

Visualization 97

Visualization Monitoring Data Quality Data Discovery 97

Astera

FEBRUARY 28, 2024

Techniques like metadata management, data cataloging, data lineage tracing, and data quality management are some of the data warehouse best practices you can incorporate. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Keeping track of metadata can help you understand the data, facilitate data integration, enable data lineage tracing, and support data quality monitoring. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52