Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

The BAWorld

NOVEMBER 20, 2024

Whether you seek to boost your career, future-proof your skills, or tap into growing demand for data analytics, here are 5 reasons why Power BI might be your best move yet. Responsibilities: Creating basic reports and dashboards, connecting to data sources, and assisting in data modeling. Lakhs to ₹5.5

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Real-time Data 52

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Your data in the cloud. Learn more: Google shared additional details in today’s Google Cloud Next keynote.

Government 138

Government Digital Transformation Retail Healthcare 138

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? It seems clear that there isn’t one standard “correct” definition of the differences between the two terms. Without further ado, let’s dive deeper into the difference between business intelligence and data analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Tableau

APRIL 18, 2022

Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Data preparation. The analytics-first approach.

Data Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

Tableau

APRIL 18, 2022

Monitor data sources according to policies you customize to help users know if fresh, quality data is ready for use. Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Data preparation. The analytics-first approach.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Sisense

JULY 24, 2019

In this mode, the user avoids putting too much effort into the definition of a specific search, and instead, relies on a random exploration path with the assisted exploration of NLQ. For new vendors in the analytics market, one of the most obvious challenges is the absence of historical data. Using AI to its Fullest.

Skillset 89

Skillset Big Data Data Modelling Data Analytics 89

Tableau

OCTOBER 8, 2021

With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics. Your data in the cloud. Learn more: Google shared additional details in today’s Google Cloud Next keynote.

Government 98

Government Digital Transformation Retail Healthcare 98

Sisense

AUGUST 11, 2019

Or is Business Intelligence One Part of Business Analytics? How about now: others see BA as the whole caboodle – data warehousing, information management, predictive data analytics , reporting and so on, and BI as one strand of that. Confused yet?

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Whizlabs

DECEMBER 23, 2020

However, organizations also face the need for ideal infrastructure for the storage, analysis, and processing of large volumes of data. Apache Cassandra has been one of the prominent names in the field of big data analytics for quite some time. On the contrary, users can avail a high-performance ‘column family’ data model.

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 52

Astera

NOVEMBER 14, 2023

If you have had a discussion with a data engineer or architect on building an agile data warehouse design or maintaining a data warehouse architecture, you’d probably hear them say that it is a continuous process and doesn’t really have a definite end. And that, in essence, is pretty much the truth.

Data Warehouse 52

Data Warehouse Agile Data Modelling Data Quality 52

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Actian

JULY 11, 2019

There is unlikely to be standardization of the data individual operational technology devices generate, but there will be new capabilities for interoperability, data aggregation and unified analysis. Before examining the standardization issue, it is important to understand the definition of “operational technology.”

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

The BAWorld

SEPTEMBER 2, 2021

This is a classic example of structured data and can be efficiently managed through a database. Unstructured Data. Unstructured data has no definite structure or data model and is stored in its native format.

Big Data 52

Big Data Data Visualization Data Warehouse Visualization 52

MindsMapped

JANUARY 5, 2021

Requirements Analysis and Design Definition. This task describes a set of requirements or designs in detail using analytical techniques such as data modelling, user stories, use cases and scenarios, among others. By analysing elicitation results, requirements can be refined into requirements and designs.

Business Analysis 94

Business Analysis Business Analysis Skillset Solution Evaluation 94

Whizlabs

APRIL 19, 2021

Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. As a Chief Customer Officer, she is expert in cloud-based subscription models, automation and data analytics to drive customer adoption of software and reduce churn.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Astera

OCTOBER 27, 2023

The benefits of a cloud data warehouse extend to breaking data silos , consolidating the data available in different applications, and identifying opportunities that would otherwise go unnoticed with a traditional on-premises data warehouse. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Marutitech

JANUARY 21, 2022

Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data analytics process into a strategic context so that companies can harness the power of their data while working on their data science project.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Insight Software

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

OCTOBER 24, 2022

Embedded analytics gives developers the ultimate flexibility to build powerful and insightful reports and dashboards into their applications, without the drawbacks associated with the three approaches already discussed. The Definitive Guide to Embedded Analytics. Logi Analytics. Download Now.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52