datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

NOVEMBER 9, 2023

In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

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 98

Insurance Strategy Data Governance Data Integration 98

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 86

Metadata Data Lake Visualization Data Transformation 86

IBM Big Data Hub

APRIL 14, 2023

Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas. Dashboards and reports The system included reports and dashboards based on deployed budget models. The story of Al Rabie is a testament to the power of collaboration and innovation.

Forecasting 73

Forecasting Sales Dashboards Reporting 73

CIO Business Intelligence

JANUARY 24, 2024

With nearly 800 locations, RaceTrac handles a substantial volume of data, encompassing 260 million transactions annually, alongside data feeds from store cameras and internet of things (IoT) devices embedded in fuel pumps. This empowers data users to make decisions informed by data and in real-time with increased confidence.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 130

Metadata Data Transformation Business Intelligence Reporting 130

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

OCTOBER 16, 2023

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data. Increase trust in AI outcomes.

Risk 77

Risk Modeling Management Metadata 77

erwin

JUNE 29, 2021

A key trend proving successful in data empowerment is investing in self-service technology. Self-service done right can enable a new level of productivity and operational efficiency to fuel the next generation of data transformation. What is data empowerment?

Data Governance 64

Data Governance Data-driven Reporting Technology 64

Smart Data Collective

FEBRUARY 20, 2020

Big data is changing the nature of invoicing software in many ways. In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. Big Data Transforms Invoicing Software Applications. Detailed Reports and Follow-Ups.

Big Data 112

Big Data Software Reporting Interactive 112

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. The same Airflow job can now be used to generate different SQL reports. Looking forward.

Data Transformation 114

Data Transformation Interactive Machine Learning Testing 114

CIO Business Intelligence

OCTOBER 18, 2022

She decided to bring Resultant in to assist, starting with the firm’s strategic data assessment (SDA) framework, which evaluates a client’s data challenges in terms of people and processes, data models and structures, data architecture and platforms, visual analytics and reporting, and advanced analytics.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Cloudera

OCTOBER 13, 2020

At the heart of CDP is SDX , a unified context layer for governance and security, that makes it easy to create a secure data lake and run workloads that address all stages of your data lifecycle (collect, enrich, report, serve and predict). Enrich – Data Engineering (Apache Spark and Apache Hive). This is Now.

Data Warehouse 90

Data Warehouse Machine Learning Visualization Data Lake 90

AWS Big Data

APRIL 25, 2024

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. AWS Glue allows you to define bucketing parameters, such as the number of buckets and the columns to bucket on, providing an optimized data layout for efficient querying with Athena.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

Ontotext

NOVEMBER 18, 2021

OntoRefine is a data transformation tool that lets you unite plenty of data formats and get them into your triplestore. That way, we can simplify our lives in the future, so when we seek reports for one building (say Building123), we also get information about the “other” building (BuildingABC), which is at the same address.

Visualization 98

Visualization Reporting Metadata Enterprise 98

BizAcuity

APRIL 1, 2023

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume For all data sources used in the Power BI service, the following considerations and limitations apply.

Optimization 52

Optimization Dashboards Modeling Sales 52

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge.

Data Lake 86

Data Lake Metrics Testing Cost-Benefit 86

Cloudera

APRIL 19, 2022

Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. .

Data-driven 87

Data-driven Data Strategy Strategy Big Data 87

Octopai

DECEMBER 11, 2022

It’s for that reason that even as the first BCBS-239 implementation deadline came into effect a few years ago, McKinsey reported that one-third of Global Systemically Important Banks had focused on “documenting data lineage up to the level of provisioning data elements and including data transformation.”.

Insurance 52

Insurance Risk Metadata Reporting 52

Cloudera

JULY 21, 2022

Cloudera Data Warehouse). Efficient batch data processing. Complex data transformations. Built-in workflow: In addition to querying capabilities, Rill includes scheduled exports and alerts to stay on top of regular reporting and provide opportunities to dive deeper. Apache Hive. Joins and subqueries . Apache Druid.

Metrics 82

Metrics Slice and Dice Data Warehouse Dashboards 82

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.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets.

Dashboards 76

Dashboards Statistics Data Collection Business Intelligence 76

Sisense

APRIL 10, 2020

In this article, we discuss how this data is accessed, an example environment and set-up to be used for data processing, sample lines of Python code to show the simplicity of data transformations using Pandas and how this simple architecture can enable you to unlock new insights from this data yourself.

Visualization 105

Visualization Reporting Data Processing Dashboards 105

BizAcuity

SEPTEMBER 21, 2022

So, you can choose to use Power BI Pro if you are a heavy business analytics user using it regularly for creating and consuming data using dashboards, data, and reports. Power BI challenges in handling large data volume. In DirectQuery mode, you don’t have to import the data. Conclusion.

Optimization 52

Optimization Dashboards Modeling Sales 52

DataKitchen

OCTOBER 5, 2021

The data organization wants to run the Value Pipeline as robustly as a six sigma factory, and it must be able to implement and deploy process improvements as rapidly as a Silicon Valley start-up. The data engineer builds data transformations. Their product is the data. Prevent “reinventing of the wheel.” .

Testing 157

Testing Dashboards Measurement Experimentation 157

CIO Business Intelligence

JUNE 13, 2022

According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. Other reports confirmed that CIOs are continuing to advance their use of cloud.

IT 144

IT Digital Transformation Strategy Internet of Things 144

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Ontotext

MARCH 20, 2024

Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company. We are pioneers in knowledge graphs – a revolutionary technology that goes beyond simple data analytics, aggregation, and reporting. Zenia Graph’s Salesforce Accelerator makes this a reality.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Cloudera

AUGUST 3, 2022

By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. Since Spark has direct access to the staged data, any Spark APIs can be used, from complex data transformations to data science and machine learning. .

Snapshot 84

Snapshot Cost-Benefit Machine Learning Data Transformation 84

AWS Big Data

FEBRUARY 6, 2023

The Amazon EMR TCO report with the new Amazon EMR design can demonstrate the Amazon EMR migration with detailed cost saving and business benefits. But we need a TCO report to showcase the cost saving details, as shown in the following figure. This could delay the project from being accepted without a good TCO report.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

Sisense

AUGUST 28, 2020

The former allows us to control the data before it is generated, and the latter allows us to identify if there is an issue with our data that would impact its availability, completeness, or accuracy. Process-driven data integrity: Getting data generation right.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

AWS Big Data

MARCH 13, 2024

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. In this example, we can see that out of our fleet of vehicles, five have been reported as not meeting emission standards.

Analytics 92

Analytics IoT Metadata Internet of Things 92