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.

Dashboards 52

Dashboards Optimization Sales Modeling 52

CIO Business Intelligence

JUNE 13, 2022

In the past we might have had a digital transformation [initiative] in HR or sales, but as I talk to a lot of CIOs, we’re all seeing end-to-end digital transformations and we’re seeing them accelerate now,” Hackenson explains. So now there’s a focus on ‘transversal transformation,’” Hackenson adds. Customer experience.

IT 144

IT Digital Transformation Internet of Things Strategy 144

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. For all data sources used in the Power BI service, the following considerations and limitations apply.

Dashboards 52

Dashboards Optimization Sales Modeling 52

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 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

AWS Big Data

AUGUST 13, 2024

Introducing the SFTP connector for AWS Glue The SFTP connector for AWS Glue simplifies the process of connecting AWS Glue jobs to extract data from SFTP storage and to load data into SFTP storage. Solution overview In this example, you use AWS Glue Studio to connect to an SFTP server, then enrich that data and upload it to Amazon S3.

Data Processing 96

Data Processing Visualization Data Lake Data Processing 96

Sisense

AUGUST 28, 2020

Each of the data characteristics we just listed — available, complete, and accurate — exposes a specific weakness that you work to prevent with your data integrity efforts. For starters, unavailability: When data is unavailable, the business is operating without visibility into a specific aspect of its behavior or history.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

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

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 Big Data Data-driven 90

AWS Big Data

SEPTEMBER 5, 2024

Federated queries are useful for use cases where organizations want to combine data from their operational systems with data stored in Amazon Redshift. Federated queries allow querying data across Amazon RDS for MySQL and PostgreSQL data sources without the need for extract, transform, and load (ETL) pipelines.

IoT 105

IoT Data Warehouse Cost-Benefit Reporting 105

AWS Big Data

JUNE 19, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. All columns should masked for them.

Data Warehouse 100

Data Warehouse Testing Sales Structured Data 100

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Metrics 52

Metrics Dashboards Sales Reporting 52

Anmut

APRIL 6, 2022

There’s a clear consensus in today’s business world: data is extremely valuable. Report after report validates this claim, with research showing that data-driven companies consistently outperform competitors by as much as 85% in sales growth , gross margin , operating margins, and other key financial performance indicators.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables. What data feed? ” Jason frowns.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 95

Enterprise Data Warehouse Data Lake Optimization 95

Cloudera

NOVEMBER 29, 2021

Data transforms businesses. That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . This has also improved analytics for ad hoc business report queries.

Data Lake 82

Data Lake Data Warehouse Data Architecture Reporting 82

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is ideal in any situation where the is necessary: Information coming from diverse data sources.

Visualization 131

Visualization Cost-Benefit Big Data Prescriptive Analytics 131

Jet Global

MAY 28, 2019

The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data. Enter the Warehouse.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

OCTOBER 30, 2024

To achieve this, you need access to sales orders, shipment details, and customer data owned by the retail team. The retail team, acting as the data producer, publishes the necessary data assets to Amazon DataZone, allowing you, as a consumer, to discover and subscribe to these assets.

Visualization 93

Visualization Data Lake Testing Data Governance 93

AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

DECEMBER 21, 2023

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. The departments include teams from engineering to sales and marketing. The data platform serves on average 60 thousand queries per day.

Data Lake 101

Data Lake Data Warehouse B2B Data-driven 101

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. This eliminates data fragmentation, a major obstacle for AI.

Finance 52

Finance Reporting Data Transformation Data-driven 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

OCTOBER 30, 2023

However, leveraging these insights can be challenging if your reports and data don’t speak to each other. Disconnected enterprise performance management (EPM) operational reporting can present significant limitations and challenges for your business. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

JULY 16, 2024

Imagine trying to analyze data with a constantly changing backend—it’s like kicking the legs out from underneath a table and still expecting it to stay upright. Your dashboards and reports need a stable foundation for your data to work correctly! What is Apache Iceberg?

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

MARCH 13, 2024

Between complex data structures, data security questions, and error-prone manual processes, merging data from disparate sources into a single system can quickly turn your routine reporting processes into a stressful and time-consuming ordeal.

Reporting 52

Reporting Finance Data Quality Sales 52