Timo Elliott

SEPTEMBER 20, 2019

At the SAP UK Journey to the Top event this week, I presented a keynote on “How Data is Powering The Future of Business: Trends and Opportunities.” And a video of the presentation. The second-best time is NOW! Please find the slides below: ?.

Artificial Intelligence 197

Artificial Intelligence Data Quality Innovation Digital Transformation 197

Dataversity

SEPTEMBER 11, 2024

In recent years, the frequency and sophistication of cyberattacks have surged, presenting a formidable challenge to organizations worldwide. My company’s 2024 Data Protection Trends report revealed that 75% of organizations experience […] The post Understanding the Importance of Data Resilience appeared first on DATAVERSITY.

Data Governance 298

Data Governance Data Quality Data Architecture Government 298

Dataversity

JANUARY 8, 2024

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. The Internet of Things (IoT) has rapidly redefined many aspects of our lives, permeating everywhere from our jobs to our homes and every space in between.

Data Governance 298

Data Governance Government Data Quality Data Security 298

Analysts Corner

DECEMBER 21, 2022

A lack of awareness has led to less competition in the data science field. In this article, we present some interesting statistics around the following, that should help you decide for yourself as to where you are headed for with job in data science : Big Data, Data Science, and Analytics Market; Data Scientist — Job and Salary.

Big Data 246

Big Data Healthcare Data Quality Data Analytics 246

Timo Elliott

JANUARY 4, 2021

Business people want more data than ever. It’s now about using data for survival in the present and new business models in the future. As I’ve said, data storytelling isn’t fundamentally about technology. Second, the stakes are higher than ever. The key takeaways. But technology can help!

Planning 348

Planning Real-time Data Data Visualization Finance 348

Analysts Corner

OCTOBER 30, 2024

While machine learning (ML) offers transformative potential for economics and business, applying it effectively in these fields presents unique challenges. Economic and business data are often complex, interdependent, and prone to fluctuations, making it difficult for models to maintain accuracy and relevance over time.

Data Quality 130

Data Quality Retail Finance Data Modelling 130

Analysts Corner

JUNE 21, 2023

AI presents graphs and diagrams for the analyst to visualize information clearly and intuitively. There is still much work to be done to improve data quality and ensure that AI has access to all relevant information without compromising the privacy and security of those involved. Trend analysis based on available data.

Artificial Intelligence 245

Artificial Intelligence Business Analysis Business Analysis Vision 245

Astera

OCTOBER 30, 2024

Data’s value to your organization lies in its quality. Data quality becomes even more important considering how rapidly data volume is increasing. According to conservative estimates, businesses generate 2 hundred thousand terabytes of data every day. How does that affect quality? million on average.

Data Quality 52

Data Quality Predictive Analytics Artificial Intelligence Healthcare 52

The Data Administration Newsletter

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Obviously, we’re a […].

Data Quality 52

Data Quality Data Governance Government Data Management 52

Cprime

JANUARY 19, 2021

To prepare plenty of food boxes, you’ll want your data scientist to analyze historical selling data to predict the number of food boxes you will likely sell during the Christmas period. This article explores data quality, the link between data quality and data analysis, why data quality matters, and how you can improve it.

Data Quality 52

Data Quality Monitoring 52

Astera

APRIL 23, 2024

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

MARCH 10, 2023

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. Duplicate data can lead to a waste of resources and negatively impact the quality of care.

Data Quality 52

Data Quality Healthcare Digital Planning 52

Timo Elliott

DECEMBER 9, 2024

Tushir Parekh, Data Analytics Manager at Harrods, presenting at UKISUG Connect 2024 in Birmingham ICC The Starting Point: A Fragmented Data Landscape Parekh set the stage by describing the state of analytics at Harrods before their transformation began in mid-2021. A lift-and-shift approach doesnt work, Parekh warned.

Data Analytics 130

Data Analytics Data Analytics Government Vision 130

Analysts Corner

FEBRUARY 5, 2023

Forrester reports suggest that between 60% and 73% of the total data is never used for analytics. An IBM study states 80% of data scientists utilize their time finding, organizing, and cleansing data (that is improving data quality), and only 20% on data analysis. Food for thought and the way ahead!

Big Data 130

Big Data IBM Maintenance IBM cost Data Quality 130

Smart Data Collective

SEPTEMBER 26, 2021

getting back on topic, documents can encode data in various formats, such as Word, XML, JSON, and BSON. Data type description and the value for the concerned description can be found in the document. The structure of the documents that make up the database can be similar or present certain differences.

Documentation 264

Documentation Data Visualization Data Mining Visualization 264

Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business.

Data Quality 137

Data Quality Government Vision Data Governance 137

Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Analysts Corner

AUGUST 13, 2023

Understand Data Structure: Data profiling helps in understanding the structure and format of the data, such as the number of columns, data types, and data format. Statistical Analysis: This step involves conducting statistical analysis on the data to identify patterns, trends, relationships, and anomalies.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Userzoom

JUNE 16, 2020

Display questions one at a time: Presenting your questions all on a single page can enable Speeders to zip through your test without paying proper attention to your questions. The post Speeders, Cheaters, Bots and Repeaters: How to design your research study with data quality in mind appeared first on UserZoom.

Data Quality 83

Data Quality Product Management Product Management 83

Smart Data Collective

APRIL 29, 2020

This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. This involves the processing of selecting data from data warehouses, data analytics and presentation in dashboards and visualisations. Reference data management.

Data Management 220

Data Management Data Warehouse Master Data Management Digital Transformation 220

Smart Data Collective

AUGUST 21, 2019

They must be realistic about the constraints of big data and be pragmatic with their utilization of it. They recognize that the overemphasis on big data has created problems, so they have presented alternatives. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability.

E-Commerce 177

E-Commerce Big Data Data Quality Data Management 177

Timo Elliott

DECEMBER 10, 2024

The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro. Founded to provide safe, chemical-free baby wipes, WaterWipes carries a commitment to high safety standards.

Data Management 130

Data Management Government Data Governance Artificial Intelligence 130

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

Smart Data Collective

SEPTEMBER 22, 2021

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise.

Pharmaceutical 305

Pharmaceutical Healthcare Documentation Retail 305

ElegantJ BI

FEBRUARY 27, 2018

AND, as power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality 130

ElegantJ BI

NOVEMBER 25, 2019

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Planning 130

ElegantJ BI

FEBRUARY 27, 2018

AND, as power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality 130

ElegantJ BI

NOVEMBER 25, 2019

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Planning 130

ElegantJ BI

NOVEMBER 25, 2019

As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Planning 130

ElegantJ BI

FEBRUARY 27, 2018

AND, as power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality 130

Juice Analytics

APRIL 6, 2021

If you are going to lean on data, you want to understand its quality. Here’s an overview article from Neil Patel about assessing data quality. Alberto Cairo is a preeminent advocate for truth in presentation of data his book, How Charts Lie is a must-read on this topic.

Data Quality 132

Data Quality Data Visualization Documentation Project Management 132

Smart Data Collective

SEPTEMBER 25, 2019

If you trust the data, it’s easier to use confidently to make business decisions. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits.

Cybersecurity 231

Cybersecurity Data Quality Planning Data Management 231

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130