AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). Karthik Tharmarajan is a Senior Specialist Solutions Architect for Amazon QuickSight.

Dashboards 74

Dashboards Statistics Data Collection Business Intelligence 74

Jen Stirrup

NOVEMBER 30, 2021

In this session, we will start R right from the beginning, from installing R through to data transformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames.

Dashboards 90

Dashboards Visualization Data Transformation Publishing 90

CIO Business Intelligence

JANUARY 19, 2024

It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

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

Sisense

FEBRUARY 26, 2020

Data-driven companies typically enjoy an increase in profit of eight to ten percent and a ten percent reduction in overall cost. As much as 30% also say that R&D has also been fundamentally changed by Big Data and analytics. Embrace embedded analytics, make better data-driven decisions.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Cloudera

AUGUST 8, 2022

These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Snapshot 88

Snapshot Data Warehouse Machine Learning Cost-Benefit 88

CIO Business Intelligence

OCTOBER 18, 2022

Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? How Can I Build a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

Sisense

DECEMBER 12, 2019

Here’s the crux of the problem: businesses have become masters at collecting data but are failing to invest in a business intelligence and data analytics solution to derive value from that data. Trying to fit your business intelligence cost into an existing budget is an uphill battle for many organizations.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Factory. You don’t need to know how to write SQL and to import data or to query. Everything is visual.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 101

Management Metadata Analytics Dashboards 101

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.

Management 110

Management Cost-Benefit Data Transformation Optimization 110

Alation

JUNE 28, 2022

Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands. Improve manageability: Automate administration of business rules to facilitate management. Key Considerations for a Metadata Management Framework.

Metadata 52

Metadata Management Data Governance Machine Learning 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

Sisense

MAY 11, 2021

The right data model + artificial intelligence = augmented analytics. However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. Dig into AI. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools.

Data Quality 73

Data Quality Testing Data Warehouse Unstructured Data 73

AWS Big Data

MARCH 3, 2023

While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source. The Amazon S3 sink connector further streams data into Amazon S3 in real time by partitioning data into fixed-sized files.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation. This integration empowers users to go from data to predictions and visualizations faster than ever.

Dashboards 73

Dashboards Data-driven Data Integration Data Lake 73

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Sisense

MAY 14, 2019

That transformative offering is being leveraged by clients like Verizon Wireless, which taps Sisense to use anomaly detection analytics to stay ahead of potential failures in the network, and Air Canada , which uses our analytics to improve flight safety. Analytic Builders: Unite! The day of the builder has arrived.

Data-driven 49

Data-driven Machine Learning Business Intelligence Consulting 49

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Choose Update.

Data Lake 82

Data Lake Data Transformation Cost-Benefit Data-driven 82

CIO Business Intelligence

JANUARY 24, 2024

Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. IoT, Web Scraping, API, IDP, RPA Data Processing Data Pipelines and Analysis Layer Employ data pipelines with algorithms to filter, sort, and interpret data, transforming raw information into actionable insights.

IoT 118

IoT Machine Learning Optimization Internet of Things 118

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

AWS Big Data

DECEMBER 21, 2023

This is the Data Mart stage. The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

Data Lake 86

Data Lake Data Warehouse Data-driven B2B 86

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. Mona Patel works in Infor’s Industry & Solution Strategy team.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

APRIL 24, 2024

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis? Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. This is in contrast to traditional BI, which extracts insight from data outside of the app.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 23, 2024

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 mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Data Lineage and Documentation Jet Analytics simplifies the process of documenting data assets and tracking data lineage in Fabric.

Analytics 52

Analytics Management Reporting Enterprise 52