AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 65

Testing Data Warehouse Data Processing Snapshot 65

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. There’s A Wealth Of Choice.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. You can get faster insights without spending valuable time managing your data warehouse.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Odds are, businesses are currently analyzing their data, just not in the most effective manner.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 74

Dashboards Data Warehouse Visualization Data Processing 74

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. It provides business analysts and managers with a visualization of the business’s past and current state, helping leaders make strategic decisions that dictate the future.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. Cross-account access has been set up between S3 buckets in Account A with resources in Account B to be able to load and unload data. the latest version as of writing this post).

Metadata 104

Metadata Data Processing Management Testing 104

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Jet Global

JULY 23, 2019

With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland. Power BI Desktop opens a new era in data analysis and reporting. Why Attend Excelapalooza? How: Register online.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Ad hoc data analysis is the discoveries and subsequent action a user takes as a result of exploring, examining, and drawing tangible conclusions from an ad hoc report.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Most of the data management moved to back-end servers, e.g., databases. Increasingly, these were simply web servers.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

SEPTEMBER 27, 2023

Key use cases Accelerate TDR with AI-powered unified analyst experience (UAX) QRadar Log Insights provides a simplified and unified analyst experience so your security operations team can visualize and perform analytics using all your security-related data, regardless of the location or the type of data source.

Cost-Benefit 94

Cost-Benefit OLAP Dashboards Visualization 94

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 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Sisense

FEBRUARY 16, 2021

The primary aim when building a model is to transform complex, raw, real-world data into a coherent picture that can be used to answer likely questions from the business. . Designers, engineers, and analysts see data in different ways. Data warehouses have become intensely important in the modern business world.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Coding skills – SQL, Python or application familiarity – ETL & visualization?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. The customer also attempted to run it in a data warehouse, which wasn’t good at low latency streaming data ingestion and low latency query support.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

NOVEMBER 5, 2021

Businesses need to deliver this to their customers and internal users, while also grappling with countless data and security challenges. Additionally, more users are interacting with analytics via mobile, so whatever solution you decide on needs to work on mobile. Learn more.

Analytics 52

Analytics Data-driven Reporting Interactive 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 24, 2023

Organizations must understand how to extract complex data on a regular cadence and present the reporting to end users to manipulate through an interactive BI tool. This allows you to combine your Oracle Cloud data with other data from within the business so you can view the bigger picture. Reporting is inflexible.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

MARCH 29, 2023

Without the right interactive reporting tools, they may find themselves unable to access automatic calculations and data checks. No way to add context to their data with web visualizations and metrics. Your team must be empowered to source answers to the easy questions themselves with technical support.

Enterprise 52

Enterprise Reporting Operational Reporting Metrics 52

Jet Global

JULY 24, 2023

Organizations must understand how to extract complex data on a regular cadence and present the reporting to end users to manipulate through an interactive BI tool. Our rich visualizations, including tabular and pivot reporting, are ideal for presenting operational reporting data. Reporting is inflexible.

Operational Reporting 52

Operational Reporting Reporting Enterprise Finance 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 helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

OCTOBER 11, 2023

It requires complex integration technology to seamlessly weave analytics components into the fabric of the host application. Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Join disparate data sources to clean and apply structure to your data.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Jet Global

OCTOBER 26, 2023

Seek a solution that simplifies your users’ admin experience with a host of controls, including full integration with EBS and JDE security, as well as workflows, approvals, and user types to control access and provide a full audit trail. It offers reporting and analytics in a single quick solution that fully understands your ERP.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52