Smart Data Collective

JUNE 1, 2022

Data breaches are becoming more common than ever. The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying.

Revenue Optimization 138

Revenue Optimization Measurement Marketing Interactive 138

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. More than 80% respondents report already engaging with generative AI.

Uncertainty 98

Uncertainty Cost-Benefit Risk Measurement 98

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. How do you measure its utility? ” So, how do you know whether your model is useful?

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Smart Data Collective

OCTOBER 26, 2023

As a result, businesses across many industries have been spending increasingly large sums on security technology and services, driving demand for trained specialists fluent in the latest preventative measures. They also uphold relevant regulations and protect systems, data, and communications.

Technology 91

Technology Risk Measurement IoT 91

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

MARCH 24, 2023

Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

OCTOBER 5, 2020

Some fantastic components of Power BI include: Power Query lets you merge data from different sources Power Pivot aids in data modelling for creating data models Power View constructs interactive charts, graphs and maps. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

Interactive 91

Interactive Visualization Dashboards Business Intelligence 91

FineReport

JUNE 29, 2023

Monitoring Power Consumption In buildings like factories and warehouses, the dashboard provides power consumption results, allowing for the identification of power failures and the implementation of appropriate and effective energy-saving measures. Users can design customized dashboards, charts, tables, and graphs to visualize their data.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Cloudera

JUNE 22, 2023

Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments. This minimizes upfront disruption while reducing maintenance costs over time.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. The average salary for a DevOps engineer is $121,173 per year, with a reported salary range of $91,000 to $169,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. The average salary for a DevOps engineer is $121,173 per year, with a reported salary range of $91,000 to $169,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

JUNE 7, 2022

Sentiment analysis: Sentiment analysis uses tools such as natural language processing , text analysis, computational linguistics, and so on, to understand the feelings expressed in the data. Data analytics and data science are closely related. Generally, the output of data analytics are reports and visualizations.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

FineReport

MAY 18, 2024

Box and Whisker Plots Boxplots and whisker plots offer a visual summary of the distribution of numerical data by displaying key statistical measures such as median, quartiles, and outliers. Consistent formatting and methodologies reduce errors caused by variations in data handling practices.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. The report created a readiness model with five dimensions and various metrics under each dimension. Based on your responses, an assessment report will be created.

IoT 56

IoT Modeling Metrics Measurement 56

DataKitchen

DECEMBER 9, 2022

DataOps observability involves the use of various tools and techniques to monitor the performance of data pipelines, data lakes, and other data-related infrastructure. This can include the use of tools for data integration and transformation, as well as technologies for managing and monitoring data-related systems and processes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

Data Quality 63

Data Quality Data Governance People Analytics Data-driven 63

FineReport

APRIL 21, 2024

The increasing adoption of cloud-based technologies is resulting in the migration of BI tools to SaaS platforms, marking a pivotal shift towards cloud-based data analysis. However, SaaS BI tools address this challenge by offering user-friendly interfaces that simplify the process of data preparation, modeling, and analysis.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Top 10 Big Data Tools 1. The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

DataKitchen

JUNE 19, 2023

” – Gautama Buddha When your data team is in crisis from errors in production, complaining customers, and uncaring data providers, we all wish we could be unshaken as the Buddha. Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

AWS Big Data

MAY 23, 2024

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states.

Data Quality 87

Data Quality Metrics Data Lake Sales 87

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Smarten

AUGUST 17, 2018

It is always wise to establish metrics and to focus on major changes within the organization to be sure you can measure success and capitalize on new tools in as many ways as possible. Look to the Data: Explore user adoption, data-driven decisions and the affects of integrated, uniform data access, and data governance.

Analytics 40

Analytics Measurement Data-driven Optimization 40

Occam's Razor

APRIL 13, 2015

I recommend that periodically you gather folks around you for lunch, pull up Adobe Analytics on the big screen in the conference room, let each person expose one hidden report or feature. In that context, Real-Time reports are an impressive feat of engineering by the team at Google. There is a difference between reporting and analysis.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. We are now able to import data from Google Cloud Storage to Amazon S3. We welcome any feedback or questions in the comments section.

Big Data 83

Big Data Software Consulting Unstructured Data 83

Birst BI

OCTOBER 30, 2018

Once an accurate predictor of future behavior is identified, integrate the scoring measures directly into the data model. The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations. Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

FineReport

JUNE 26, 2023

One invaluable tool for gaining these insights is the performance report. In this article, we will explore what a performance report entails, emphasize the significance of such reports, delve into different types of performance reports, provide a performance report template, and outline the steps to create an effective performance report.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

erwin

JANUARY 11, 2019

The sad truth is that high-paid knowledge workers like data scientists spend up to 80 percent of their time finding and understanding source data and resolving errors or inconsistencies, rather than analyzing it for real value. Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

DataKitchen

MAY 10, 2021

An automated process that catches errors early in the process gives the data team the maximum available time to resolve the problem – patch the data, contact data suppliers, and rerun processing steps. The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Jet Global

NOVEMBER 25, 2020

To fulfil these needs, you need direct access to accurate data from your ERP, and the ability to quickly create drillable Excel reports for GL and other finance requirements. To customize an existing report or to create a new one with Crystal Reports, you need technical expertise.

Reporting 52

Reporting Optimization Finance Cost-Benefit 52