Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Automated workflows for data product creation, testing and deployment.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 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. If nothing can be changed, there is no point of analyzing data.

IT 317

IT Statistics KPI Data-driven 317

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Data and tool tests.

Testing 130

Testing Statistics Measurement Metrics 130

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Dashboards and analytics have been around for a long, long time. I’ve worked with hundreds of dashboard and data visualization projects over the years.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

CIO Business Intelligence

APRIL 8, 2024

The platform uses ball-tracking cameras and 3D radar systems to generate live on-court match data, which is fed into Azure and combined with live score data to reveal insights into serving patterns, returns, and player movements around the court.

Analytics 115

Analytics Broadcasting Predictive Analytics Metrics 115

Smarten

MAY 13, 2022

Tech research and analysis firm, Gartner predicts that, ‘Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives,’ and that prediction applies to all types of industries and vertical business sectors, including finance and accounting.

Analytics 76

Analytics Cost-Benefit Finance Data Quality 76

Smarten

FEBRUARY 3, 2023

Key Benefits and Deliverables: Predefined Toll Plaza Performance Management solution with ready-to-use dashboards, KPIs, reports, and analysis. Data quality improvement and data consolidation from all toll plazas for high-quality and reliable information for decision-making.

KPI 52

KPI Management Analytics Dashboards 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

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MARCH 27, 2019

We’re living in the midst of the age of information, a time when online data analysis can determine the direction and cement the success of a business or a startup that decides to dig deeper into consumer behavior insights. By managing customer data the right way, you stand to reap incredible rewards. Enhancing your sales efficiency.

Management 129

Management Data-driven Dashboards Visualization 129

CIO Business Intelligence

APRIL 24, 2024

We started with an evolution of the CRM to manage the citizen relationship, and the various requests and reports: those who come into contact with the AMA must be recognized on any channel and receive consistent answers in a multichannel perspective,” he says. From there, the actual digitization project can be implemented. “We

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

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. Fortunately, we have a tool in Juicebox that fluidly integrates data visualization with the ability to explain context, priorities, and next steps.

Metrics 119

Metrics Dashboards Data-driven Data Quality 119

DataKitchen

MARCH 16, 2023

Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. All you had to do was to write a few bullet points every week in the text for your report for last your boss. Where is your metrics report? What should be in that report about your data team?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

CIO Business Intelligence

SEPTEMBER 20, 2023

How do you educate the business case owners about how to work with the data? He has player-coaches who train the business case teams on data preparation and visualization tools until they become self-sufficient in creating their own end-user dashboards and algorithms. Benning’s team is a center of excellence.

Data Lake 132

Data Lake Data-driven Dashboards Risk 132

erwin

FEBRUARY 28, 2024

It offers a complete column level tracking (from, for example, within a Power BI report) of all the transfers and transformations that have led to the contents of the report column. It actually reverse engineers the ETL/ELT technical code sets and transforms and visualizes it on a logical level.

Metadata 52

Metadata Data Governance Data Quality Technology 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

APRIL 6, 2022

In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information. There are several factors that can reduce organizational efficiency: Infrastructure: Many IT environments have disparate systems in silos, making it difficult to accelerate the flow of data between systems.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

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. Having visually appealing graphics can also increase user adoption.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

datapine

DECEMBER 17, 2019

As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. Get our summary to learn the key elements and benefits of IT reporting! What Are IT Reports? Why Do You Need An IT Report?

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

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

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

Jedox

OCTOBER 22, 2020

Other challenges to data analytics include data storage, data quality, and a lack of knowledge and tools necessary to make sense of the data and generate those critical insights. Limited real-time analytics and visuals. Limited self-service reporting across the enterprise. Self-service reporting.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This powers numerous applications, insight generations, dashboards, and tools. It also enables business teams to have their data at their fingertips and have a uniform view of it.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

Business Intelligence 52

Business Intelligence Software Reporting Technology 52

Laminar Security

DECEMBER 1, 2023

As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more. million, the highest it’s been in 17 years.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

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. After all, do you really want to dedicate resources to three processes that do exactly the same thing?

Management 52

Management Metadata Business Intelligence ROI 52

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Smarten

NOVEMBER 3, 2017

The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

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. Data quality Data quality is essentially the measure of data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

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. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist. The "Action Dashboard" (An Alternative To Crappy Dashboards). Refuse Report Requests.

KPI 124

KPI Metrics Measurement ROI 124