CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MAY 2, 2023

And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Worse is when prioritized initiatives don’t have a documented shared vision, including a definition of the customer, targeted value propositions, and achievable success criteria.

Digital Transformation 132

Digital Transformation IT Data-driven Metrics 132

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 139

Digital Transformation Unstructured Data Machine Learning Risk Management 139

CIO Business Intelligence

JANUARY 24, 2024

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Assess Data Quality.

Management 52

Management Data Quality Metadata Testing 52

CIO Business Intelligence

MAY 24, 2023

It’s now clear that data governance is most successful when CIOs and CDOs do three things: Involve all key stakeholders in the definition of a data governance framework. You can’t assume data ownership is equivalent to the right to make decisions about the data,” says Thomas.

Data Governance 96

Data Governance Data Quality Data Collection Management 96

Alation

FEBRUARY 14, 2023

According to the Gartner report, The State of Data and Analytics Governance is Worse Than You Think , 80% of businesses acknowledge that high quality governance is essential to achieving long-term business goals. At first, “governance progress” metrics could be utilised, such as: What % of tables have a data steward assigned?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

erwin

FEBRUARY 28, 2024

What I love in erwin Data Intelligence is that it not only allows you to enter a definition, description, data owner, data steward, data classification, and all the basics you expect – but that it also allows you to completely configure the fields you need to your unique data governance framework.

Metadata 52

Metadata Data Governance Data Quality Technology 52

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality? Who are they?

IT 317

IT Statistics KPI Data-driven 317

Peter James Thomas

AUGUST 4, 2020

The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words. As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source. And there are an insane number of variants.

Modeling 130

Modeling Risk Software Enterprise 130

CIO Business Intelligence

MARCH 4, 2024

As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Accelerated demand in AI-enabled innovations has recently compounded these issues, prioritizing the need for new capabilities that require even more robust data foundations.

Insurance 82

Insurance Strategy Data Governance Data Integration 82

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? For example, it may be helpful to track specific daily activities or benchmarks for all data-related processes. Roadblock #2: Data problems and inconsistencies.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

datapine

AUGUST 7, 2019

Exclusive Bonus Content: Your Definitive Guide to SaaS & Dashboards! Data analysis like never before. Whether you need to develop an IT report or tackle deeper into the financial analytics side of the business, a dashboard will prove its worth when you see all your data in a clean, interactive screen. 2) Vision.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

datapine

AUGUST 21, 2019

Let’s examine how you can do so with the following sales KPIs, created for a comprehensive sales report. A definitive sales graph example for any growing organization. If you enjoy working with databases, you can easily create this graph with the help of SQL reporting tools. 4) Average Revenue Per Unit. 11) Sales KPI Dashboard.

Sales 235

Sales Dashboards KPI Visualization 235

O'Reilly on Data

APRIL 19, 2021

The second-most significant barrier was the availability of quality data. The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. The biggest problems in this year’s survey are lack of skilled people and difficulty in hiring (19%) and data quality (18%).

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Anmut

APRIL 6, 2023

How do you do a Data Maturity Assessment? What does a Data Maturity Assessment Measure? What makes a Good Data Maturity Assessment? What is a Data Maturity Assessment? The definition of a data maturity assessment is a measurement of the reliability, effectiveness, and efficiency of an organisation’s data management.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Jet Global

APRIL 9, 2023

This means finance is saddled with providing timely planning, forecasting, and reporting that informs business decisions in the moment. Data Quality Consistency Data quality and consistency is the foundational challenge. Without confidence in the base data, employees will never reach data fluency.

Finance 52

Finance Forecasting Predictive Analytics Data-driven 52

erwin

DECEMBER 3, 2020

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Greater visibility into business and data lineage through new vantage points, filters and drilldowns. Click here to download a copy of the Gartner Magic Quadrant Report.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

CDW Research Hub

MAY 29, 2019

Start meeting, strategizing, and creating the justification for data governance. Agree on a definition of data governance for organization. Identify where your company currently stands in data governance, while keeping in mind your master data management plan, data quality goals, data stewardship, data lineage, and metadata.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

AWS Big Data

DECEMBER 13, 2023

Data quality check – The data quality module enables you to perform quality checks on a huge amount of data and generate reports that describe and validate the data quality. It retrieves the specified files and available metadata to show on the UI.

Metadata 87

Metadata Data Lake Visualization Data Transformation 87

erwin

APRIL 15, 2020

In regard to third-party data, we should ask ourselves: How was the data created? Does the definition (description, classification, allowable range of values, etc.) of incoming, individual data elements match our internal definitions of those data elements? Are asymptomatic infections reported?

Data Governance 134

Data Governance Metadata Testing Reporting 134

Alation

AUGUST 30, 2022

With Alation Anywhere launching in beta, we will meet people where they are, helping to deliver context and trustworthiness of data, from and across the modern data stack, starting with Tableau. With this integration, Alation descriptions and data quality flags of warnings and deprecations will propagate to Tableau.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Anmut

OCTOBER 29, 2020

On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

Cloudera

NOVEMBER 15, 2021

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 of that data is analysed.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

DataRobot Blog

MAY 10, 2022

This is confirmed by SR 11-7, which asserts that model risk arises from the “ adverse consequences from decisions based on incorrect or misused model outputs and reports.” With this definition of model risk, how do we ensure the models we build are technically correct? To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Octopai

MAY 31, 2022

A data lineage tool gives you visibility and transparency into your data: where your numbers came from, where they ended up, and what happened to them along their journey from source systems all the way to BI reporting tools. If you want your data to be a business asset, treat it like one. Asset, here we come!

Management 52

Management Metadata Business Intelligence ROI 52

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. Some reasoners are implemented to also be able to check for OWL constraint compliance, but there is no standardized way to report the violations.

Data Quality 64

Data Quality Testing Reporting Metadata 64

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

Andrew White

APRIL 5, 2019

The context might be for: Defining data quality. Reporting the business impact of a data governance initiative. Monitoring the progress of a digital or data-driven transformation. In all cases the assumption is that there is a definitive metric or key performance indicator (KPI). Getting tighter.

Metrics 80

Metrics Key Performance Indicator KPI Marketing 80

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. So, what is BI reporting advancing in a business? Let’s get started by asking the question “ What is business intelligence reporting?”.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Jen Stirrup

SEPTEMBER 30, 2021

Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Modelling Data.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

datapine

AUGUST 14, 2019

Not to forget various areas of data scientists employed in, from academia to IT companies. Therefore, there are numerous data science tools and techniques that provide scientists with an easier, more digestible workflow and powerful results. Our Top Data Science Tools. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Alation

JULY 15, 2022

Data as an Insight: Operational Improvement. The mandate: Financial services businesses must meet extensive regulatory requirements, which demand full governance including: Data ownership, definitions, agreed-upon data quality rules and results, and lineage (BCBS239, CCAR, etc.).

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 113

Digital Transformation Strategy Data-driven Data Strategy 113