ElegantJ BI

JULY 11, 2017

Agility and Quality: A Vital Balancing Act! Think of data agility and data quality like a tight rope act. They want to see a QUALITY act. In data preparation, an organization may think of data preparation and data analysis as something that must always be of the highest quality – NO negotiation.

Agile 130

Agile Data Quality 130

ElegantJ BI

JULY 11, 2017

Agility and Quality: A Vital Balancing Act! Think of data agility and data quality like a tight rope act. They want to see a QUALITY act. In data preparation, an organization may think of data preparation and data analysis as something that must always be of the highest quality – NO negotiation.

Agile 130

Agile Data Quality Business Intelligence Business Intelligence 130

Smart Data Collective

OCTOBER 13, 2021

In this way, it is possible to exploit the business value of all data, of any type and from any source. It also generates integrated and standardized data services that help you get more agile performance from your data without the need for constant replication. Why is Data Virtualization the cheapest and fastest option?

Data Visualization 363

Data Visualization Visualization Big Data Artificial Intelligence 363

BizAcuity

NOVEMBER 13, 2024

Challenges in Achieving Data-Driven Decision-Making While the benefits are clear, many organizations struggle to become fully data-driven. Challenges such as data silos, inconsistent data quality, and a lack of skilled personnel can create significant barriers.

Supply Chain 130

Supply Chain Business Intelligence Business Intelligence Data Visualization 130

Dataversity

FEBRUARY 8, 2021

As I’ve been working to challenge the status quo on Data Governance, I get a lot of questions about how it will “really” work. The post Dear Laura: Agile Data Governance appeared first on DATAVERSITY. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote the […].

Data Governance 130

Data Governance Government Agile Data Quality 130

Dataversity

JANUARY 30, 2025

Revenue data is no longer just a metric its the strategic heartbeat of every enterprise. In the next decade, companies that capitalize on revenue data will outpace competitors, making it the single most critical asset for driving growth, agility, and market leadership.

Data Governance 130

Data Governance Government Agile Data Quality 130

BizAcuity

MARCH 29, 2019

The main reasons why customers perceive the cloud as an advantage for Data Lakes are better security, faster deployment time, better availability, frequent feature and functionality updates, more elasticity, better geographic coverage, and costs linked to actual utilization. Numbers are only good if the data quality is good.

Healthcare 256

Healthcare Data Quality Big Data Visualization 256

Timo Elliott

DECEMBER 14, 2022

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. The industry analysts all have a similar vision of what that agile future of business looks like. You lose the roots: the metadata, the hierarchies, the security, the business context of the data.

Innovation 264

Innovation Artificial Intelligence Data Warehouse Government 264

Timo Elliott

JANUARY 4, 2021

And finally, agility. As I’ve said, data storytelling isn’t fundamentally about technology. Second, getting a glimpse into the future. People really want to know what’s about to happen, so there’s lot of interest in leading indicators, scenario planning, and predictive technologies. The key takeaways. But technology can help!

Planning 348

Planning Real-time Data Data Visualization Finance 348

Dataversity

SEPTEMBER 27, 2021

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. extract, transform, load) projects are often devoid of automated testing. The […].

Agile 246

Agile Data Warehouse Data Quality Data Architecture 246

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Timo Elliott

JANUARY 22, 2019

These data-driven, self-learning business processes improve automatically over time and as people use them. Cloud brings agility and faster innovation to analytics. As business applications move to the cloud, and external data becomes more important, cloud analytics becomes a natural part of enterprise architectures.

Data Discovery 240

Data Discovery Enterprise Architecture Embedded Analytics Digital Transformation 240

Dataversity

OCTOBER 4, 2022

The rise of data lakes and adjacent patterns such as the data lakehouse has given data teams increased agility and the ability to leverage major amounts of data. Constantly evolving data privacy legislation and the impact of major cybersecurity breaches has led to the call for responsible data […].

Government 237

Government Cybersecurity Agile Data Governance 237

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

Astera

AUGUST 3, 2023

Data quality stands at the very core of effective B2B EDI. According to Dun and Bradstreet’s recent report , 100% of the B2B companies that invested in data quality witnessed significant performance gains, highlighting the importance of accurate and reliable information.

Data Quality 52

Data Quality Supply Chain Monitoring Real-time Data 52

ElegantJ BI

JULY 18, 2016

Promote data and reports to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality. Now THAT would be a real data buffet, wouldn’t it?

Data Discovery 130

Data Discovery Data Quality Government Visualization 130

ElegantJ BI

JULY 18, 2016

Promote data and reports to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality. Now THAT would be a real data buffet, wouldn’t it?

Data Discovery 130

Data Discovery Data Quality Government Visualization 130

ElegantJ BI

JULY 18, 2016

Promote data and reports to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality. Now THAT would be a real data buffet, wouldn’t it?

Data Discovery 130

Data Discovery Data Quality Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 7, 2018

Your organization can promote data and reports created by business users to IT provisioned, and IT approved data sources, and identify these data sources with clear watermarks to provide an appropriate balance between agility, governance and data quality. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

DECEMBER 11, 2019

. • Promote data and reports created by business users to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality.

Data Quality 130

Data Quality Government Agile Business Intelligence 130

ElegantJ BI

MARCH 7, 2018

Your organization can promote data and reports created by business users to IT provisioned, and IT approved data sources, and identify these data sources with clear watermarks to provide an appropriate balance between agility, governance and data quality. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

DECEMBER 11, 2019

. • Promote data and reports created by business users to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality.

Data Quality 130

Data Quality Government Agile Business Intelligence 130

ElegantJ BI

DECEMBER 11, 2019

. • Promote data and reports created by business users to IT provisioned/approved data sources, and identify IT provisioned approved data sources with clear watermarks to ensure balance between agility, governance and data quality.

Data Quality 130

Data Quality Government Agile Business Intelligence 130

ElegantJ BI

MARCH 7, 2018

Your organization can promote data and reports created by business users to IT provisioned, and IT approved data sources, and identify these data sources with clear watermarks to provide an appropriate balance between agility, governance and data quality. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

Timo Elliott

JANUARY 5, 2022

The first one is: companies should invest more in improving their data quality before doing anything else. To make a big step forward with data science, you first need to do that painful work. That’s an awful waste of resources. Yves: Why are all those projects failing? Timo: I see two main reasons.

Digital Transformation 289

Digital Transformation Chief Data Officer Innovation Digital 289

ElegantJ BI

JUNE 13, 2019

Probably because your IT team and/or your executive management team believe it is a) too expensive, b) will take a long time to implement, c) will not be something users CAN adopt because of the need for expertise or skills.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Probably because your IT team and/or your executive management team believe it is a) too expensive, b) will take a long time to implement, c) will not be something users CAN adopt because of the need for expertise or skills.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. So, why wouldn’t your organization want to implement Data Preparation Software that is easy enough for every business user?

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

CMW Lab Blog

DECEMBER 27, 2024

Overcoming Challenges in AI Adoption Adopting AI has immense potential, but businesses may encounter roadblocks such as data quality issues, skill gaps, and integration with legacy systems. Here’s how to address these challenges: Quality Data Management : Use centralized data lakes to ensure high-quality, accessible data.

Monitoring 52

Monitoring Business Process Management Predictive Analytics Documentation 52

ElegantJ BI

SEPTEMBER 6, 2019

Users can access complex tools in an easy-to-use environment without the help of programmers or data scientists. SSDP (Self-Service Data Preparation) empowers business users and allows them to perform tasks, make decisions and recommendations quickly and with speed, agility and accuracy.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

Users can access complex tools in an easy-to-use environment without the help of programmers or data scientists. SSDP (Self-Service Data Preparation) empowers business users and allows them to perform tasks, make decisions and recommendations quickly and with speed, agility and accuracy.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

Users can access complex tools in an easy-to-use environment without the help of programmers or data scientists. SSDP (Self-Service Data Preparation) empowers business users and allows them to perform tasks, make decisions and recommendations quickly and with speed, agility and accuracy. Self-Serve Data Prep in Action.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 1, 2021

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation.

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

ElegantJ BI

SEPTEMBER 1, 2021

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation.

Data Quality 130

Data Quality Visualization Data Modelling Agile 130

Analysts Corner

OCTOBER 31, 2023

Commercial : Customer Relationship Management (CRM) systems that integrate customer data and preferences to identify greater business opportunities in personalized campaigns and actions. Management : monitoring transactional data from business operations to generate indicators at various levels.

Artificial Intelligence 246

Artificial Intelligence Monitoring Banking Healthcare 246

Dataversity

NOVEMBER 22, 2023

In today’s ever-evolving landscape, leaders face a delicate balancing act when harnessing the power of AI to transform their data into valuable insights. On the one hand, the relentless speed of AI-driven advancement and fierce industry competition demand an agile, iterative approach to unlock AI’s full potential.

Innovation 162

Innovation Agile Data Governance Data Quality 162

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. This tailored approach is central to agile BI practices.

Agile 52

Agile Data Warehouse Data Quality Government 52