Sisense

JANUARY 14, 2021

Users open their dashboards expecting every chart to be fully functional and accurate; if they encounter a broken chart, distrust of the dashboard or the underlying data is a natural reaction. Michael Hartmann, VP of Business Intelligence With a Master of Science in physics, Michael has been working in data analysis and fintech since 2014.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Sisense

JANUARY 6, 2021

Nasdaq Investor Relations uses Sisense to infuse interactive reporting into its core offering, enabling customers to dissect and manipulate their data in innovative and impressive ways via white-label reports and dashboards. Use case snapshots: White-label reports and dashboards in action today. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Smart Data Collective

SEPTEMBER 4, 2020

Not only this, but they can reduce your costs by ensuring that you can harness your data by yourself, without the need to employ a data analyst. The best data analysis software can help you to collect and organize your data, to construct potential data models, and can also help you to write up reports.

Big Data 219

Big Data Data Analytics Data Analytics Data Modelling 219

The BAWorld

MARCH 15, 2024

Thereby, learning visualization software such as Tableau can enhance your abilities as a data Analyst. This is the premier software used industry wide that enables you to display your analysis on dashboards, make data models, renderings and business intelligence reports.

Data Visualization 52

Data Visualization Artificial Intelligence Visualization Banking 52

Astera

APRIL 27, 2023

Data transformation tools After storing raw data, data transformational tools help transform it into a data model that allows data analysts or data scientists to extract insights from it. What Should I Look For in Each Component of the Modern Data Stack?

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Data Pine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. ” Chris Wallingford, Director of Business Intelligence, Tessitura Network.

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. What is Health Data Management ? The global digital health market is expected to reach $456.9

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Sisense

JULY 8, 2020

Analytics and data are changing every facet of our world. In The State of Analytics and BI , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. Hence you need a centralized platform and organization to facilitate innovation across all groups.”

Enterprise Innovation 107

Enterprise Innovation Innovation Healthcare Data Modelling 107

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

SEPTEMBER 29, 2022

Why Do You Need Data Quality Management? While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Sisense

JANUARY 15, 2021

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. It’s no secret that data teams are becoming indispensable to organizations.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Astera

NOVEMBER 28, 2022

But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. In today’s digitized era, organizations must adapt to the evolving data infrastructure needs to keep up with the technological-driven innovations. Does that mean it’s the end of data warehousing?

Data Warehouse 52

Data Warehouse Data Modelling Data Management Data Automation 52

Sisense

MARCH 30, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. While analyzing data, business users can now ask questions of their data and receive insights around results.

Artificial Intelligence 92

Artificial Intelligence Data Modelling Digital Innovation 92

Sisense

FEBRUARY 24, 2021

Elements like natural language processing can even interpret their queries written in everyday language, further increasing the range of people who can derive intelligence from data without technical skills. This situation can quickly pose a dilemma for the chief data officer.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Sisense

APRIL 7, 2020

“The release of the BigQuery Storage API reflects our ongoing commitment to enabling digital transformations as more companies continue to migrate data into the cloud,” said Sudhir Hasbe, Director, Product Management, Google Cloud. Creating a single source of truth in our Elastic Data Engine also yields tremendous benefits.

Big Data 86

Big Data Data Warehouse Digital Transformation Product Management 86

Cprime

DECEMBER 21, 2022

Unifying information components to normalize the data and provide business intelligence tools to access marketing data and enhance productivity and efficiency. Improving connectivity and visibility to adapt to changes and innovations in the business world.

Data Management 52

Data Management Real-time Data Data Governance Vision 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Navigating the History of Tableau Innovation viz.

Innovation 144

Innovation Visualization User Experience Documentation 144

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

ElegantJ BI

JANUARY 3, 2020

While predictive analytics techniques and predictive modeling does include complicated algorithms. But, Predictive Analytics and data modeling need not be restricted to data scientists. Team members might envision everything from a crystal ball to complex charts and graphs with unreadable numbers and conclusions.

Predictive Analytics 130

Predictive Analytics Data Modelling Innovation Data Analytics 130

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Navigating the History of Tableau Innovation viz.

Innovation 98

Innovation Visualization User Experience Documentation 98

Sisense

MAY 21, 2020

The changes we make today will propel future generations, so access to data, and liberating data, is increasingly important to make informed, thoughtful business decisions that are not based on gut feel, but through data that drive insight. Focus on integration and innovation.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Sisense

JULY 28, 2019

To understand how businesses in the future will create the most value with data, it helps to take a look back at the preceding waves of innovation that have shaped the space. What did change is that computers become more prevalent in the workplace, appearing on every desk in every office of companies around the world.

Innovation 75

Innovation Data Modelling Business Intelligence Business Intelligence 75

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

SEPTEMBER 19, 2023

There’s no doubt that cloud ERPs have had a profound impact on businesses, transforming the way organizations operate, innovate, and deliver value. Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence.

IBM cost 52

IBM cost IBM Maintenance IBM Support Data Warehouse 52

Insight Software

SEPTEMBER 30, 2022

Use packaged ETL for Oracle business applications and an open interface to integrate data with existing business intelligence. Angles for Oracle includes access to purpose-built technology that will extract, transform, rationalize, and organize data from any Oracle ERP you run, as well as from other non-ERP sources.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52