ElegantJ BI

NOVEMBER 29, 2018

One of the most common excuses used to avoid data democratization and self-serve augmented data discovery is that the organization cannot guarantee data integrity and that, if business users have access to dated, incorrect or incomplete data, the resulting decisions will not be better but rather worse than the decisions made today.

Data Discovery 130

Data Discovery Data Governance Government Data Security 130

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 93

Data Discovery Data Quality Data Governance Data Management 93

ElegantJ BI

AUGUST 24, 2017

“Our Smarten, self-serve approach to business intelligence and advanced analytics is designed to expand the boundaries of self-serve analytic, social BI and mobile access with dependable data governance and security.”

Data Discovery 214

Data Discovery Business Intelligence Business Intelligence Visualization 214

ElegantJ BI

FEBRUARY 5, 2018

There is no doubt that the Business Intelligence market has moved toward Advanced Data Discovery tools and self-serve tools like Self-Serve Data Preparation, and Plug n’ Play Predictive Analysis. Contact Us and find out more about the ever-expanding world of self-serve analytics.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

JUNE 9, 2015

Business intelligence solutions have come a long way in the past five years with continued innovation and transformation from traditional BI to data visualization and data discovery. Vendors like Tableau have excellent data discovery tools and Qlikview is catching up by launching Qlik Sense. What does IT get?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Data Discovery 130

Data Discovery Monitoring Data Governance Data Quality 130

ElegantJ BI

SEPTEMBER 6, 2019

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Agile 130

Tableau

MARCH 21, 2023

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

Data Discovery 52

Data Discovery Data Quality Data Governance Data Management 52

ElegantJ BI

MAY 25, 2018

.” The Smarten team will be on hand at the Gartner Data & Analytics Summit on June 5 and June 6 to demonstrate current product functionality including Smart Visualization, Plug n’ Play Predictive Analytics and Self-Serve Data Preparation.

Data Analytics 130

Data Analytics Data Analytics Data Discovery Business Intelligence 130

ElegantJ BI

JANUARY 7, 2020

Modern BI supports collaboration, while providing appropriate data governance and data security. ’ Modern BI solutions allow for and support user adoption, and deliver more benefit, better ROI and lower TCO to the organization by empowering business users and holding each team member accountable for results.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

NOVEMBER 16, 2016

When your enterprise considers self-serve BI tools, it must look carefully at the features and benefits of these tools and compare them to the requirements and needs of the IT organization (for data governance and data watermarking, as appropriate), and for users at all levels including executives, analysts and business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

SEPTEMBER 6, 2015

When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about ‘democracy’ If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Governance 130

ElegantJ BI

DECEMBER 21, 2016

The solution targets business user empowerment with self-serve deep dive analytics, with a rich, forward-looking product roadmap that encompasses Self-Serve Data Preparation , Advanced Data Discovery and Plug n’ Play Predictive Analytics in the hands of business users and transforms them into Citizen Data Scientists.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 130

ElegantJ BI

DECEMBER 15, 2015

Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. In this, the second of the article series, we delve into data governance and separate fact from fiction. In many BI implementation scenarios, accessibility, trust and usability of Business Intelligence (BI) solutions is hampered by Data Anarchy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Governance Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Analytics 130

Data Analytics Data Analytics Data Discovery Data Governance 130

ElegantJ BI

JULY 7, 2016

. “We constantly strive to find opportunities to support the user with flexible tools and to enable user empowerment while, at the same time, ensuring comprehensive data governance and security.”

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

SEPTEMBER 7, 2016

Empower business users by letting them add new data, change data operations, change summary operations, change visualization and layout and even design dashboards, reports and cross tabs without programming skills. Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance.

Business Intelligence 100

Business Intelligence Business Intelligence Predictive Analytics Data Discovery 100

ElegantJ BI

DECEMBER 5, 2016

Factors like poor User Adoption, Data Access, Features and Benefits, Self-Serve Analytical Capability, Data Sharing and Reporting, Cost vs. Benefit, and Data Discovery issues must be considered in order to ensure the success of your self-serve business intelligence initiative.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Data Visualization 130

Tableau

JUNE 13, 2022

In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. .

Chief Data Officer 70

Chief Data Officer Data Discovery Data Analytics Data Analytics 70

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Promoting data discovery and access. Technology facilitates that change.

Cloud Computing 98

Cloud Computing Data Governance Business Intelligence Business Intelligence 98

Tableau

JUNE 13, 2022

In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. This ability removes the structural barriers between IT-managed data environments and true, businesswide data-driven decision making. .

Chief Data Officer 65

Chief Data Officer Data Analytics Data Analytics Data Discovery 65

ElegantJ BI

AUGUST 16, 2016

In this brave new world of self-serve business intelligence business users can create their own time series forecasting, associative, clustering, classification and other predictive analytics using drag n’ drop functionality, without the assistance of a statistician or data scientist. Myth #3: Business Users Do Not Need Ad Hoc Data Analysis.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

Tableau

MAY 11, 2022

Metadata management that supports a native analytics catalog with full view of your data assets and sources and provides metadata in context for fast data discovery. This means data analysts and IT finally get to move their projects past the enterprise data warehouse or data lake.

Data Warehouse 88

Data Warehouse Data Management Artificial Intelligence Government 88

Tableau

JULY 23, 2021

This prompted them to increase efficiency of processes and launch a new data governance unit. Good governance is substantial to a data-driven organization,” says Billie Setiawan, senior vice president of the Enterprise Data Management (EDM) group. To learn how to build one review the Tableau Data Culture Playbook.

Government 126

Government Data Governance Data Discovery Data Architecture 126

Tableau

MAY 11, 2022

Metadata management that supports a native analytics catalog with full view of your data assets and sources and provides metadata in context for fast data discovery. This means data analysts and IT finally get to move their projects past the enterprise data warehouse or data lake.

Data Warehouse 86

Data Warehouse Data Management Artificial Intelligence Government 86

GAVS Technology

JUNE 2, 2021

Data fabric aims to simplify the management of enterprise data sources and the ability to extract insights from them. Data fabric platforms should also focus on data sharing, not within the enterprise but also across enterprise. Data Lakes.

Data Governance 52

Data Governance Data Management Healthcare Data Warehouse 52

Insight Software

OCTOBER 24, 2022

As cloud computing has advanced in popularity, data discovery applications have evolved rapidly to handle very large datasets, offering graphically rich displays such as heat maps, pie charts, and geographical maps alongside pivot tables for multi-dimensional analysis. Download Now. The Better Approach: Embedded Analytics.

Embedded Analytics 52

Embedded Analytics Data Discovery Data Visualization Data Analytics 52

Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Promoting data discovery and access. Technology facilitates that change.

Cloud Computing 52

Cloud Computing Data Governance Business Intelligence Business Intelligence 52

Tableau

JULY 23, 2021

This prompted them to increase efficiency of processes and launch a new data governance unit. Good governance is substantial to a data-driven organization,” says Billie Setiawan, senior vice president of the Enterprise Data Management (EDM) group. To learn how to build one review the Tableau Data Culture Playbook.

Government 82

Government Data Governance Data Discovery Data Architecture 82

Dataversity

MARCH 21, 2022

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

Data Warehouse 246

Data Warehouse Data Management Data Governance Data Discovery 246

Dataversity

SEPTEMBER 20, 2021

Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.

Digital 246

Digital Data Governance Data Discovery Data Architecture 246

Dataversity

JUNE 13, 2022

When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions.

Data Governance 130

Data Governance Data Discovery Data Architecture Data Quality 130

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Governance Data Discovery 147

Dataversity

AUGUST 2, 2021

Enterprise organizations evaluate several factors when choosing a data migration vendor. The post Discovery and Reporting: The Bread and Butter of Data Migration appeared first on DATAVERSITY. Click to learn more about author Daniel Esposito.

Data Discovery 130

Data Discovery Data Governance Data Quality Government 130

Dataversity

APRIL 7, 2021

It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […].

Data Governance 130

Data Governance Data Discovery Data Quality Government 130

Data Pine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Data Analytics 85

Data Analytics Data Analytics Big Data Visualization 85

Data Pine

DECEMBER 11, 2019

This means that your business’s data is available and secure regardless of a data breach or system failure. Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency.

Artificial Intelligence 122

Artificial Intelligence Innovation Business Intelligence Business Intelligence 122