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 wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 72

Dashboards Data Warehouse Visualization Data Processing 72

CIO Business Intelligence

OCTOBER 17, 2023

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales.

IT 130

IT Finance Sales Enterprise 130

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. role_arn={5}&database={6}&region={7}'.format(conn_type,

Metadata 94

Metadata Data Processing Management Testing 94

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. 4 – Data Reporting. With a shocking 2.5

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. Check out this sample of more than 60 sessions: Build Stunning Dashboards with Power BI. Dashboards.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. runs Advanced Analytics at TDWI.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

AWS Big Data

JANUARY 24, 2023

Serverless applications are a modernized way to perform analytics among business departments and engineering teams. Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department. What are WebSockets and why do we need them?

Analytics 57

Analytics Data-driven Management Reporting 57

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. Fault tolerance is built in. Any hardware failures are automatically replaced.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

Occam's Razor

DECEMBER 3, 2008

Michael, politely, says in an email: "I have done web analytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. Here's the Avinash Kaushik Web Analytics Career Introspection Guide ! Do some introspection.

Analytics 115

Analytics Consulting Metrics Reporting 115

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

datapine

JULY 1, 2020

Ad hoc reporting, also known as one-time ad hoc reports, helps its users to answer critical business questions immediately by creating an autonomous report, without the need to wait for standard analysis with the help of real-time data and dynamic dashboards. Easy to use: .

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 Business Intelligence 52

Occam's Razor

APRIL 25, 2011

Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8. Web Analytics, 4Q, KissInsights, Insights for Search, AdPlanner, and all the other glorious free tools. Doing anything on the web without a Web Analytics Measurement Model. Life is a lot more complex (and sexy!).

Marketing 126

Marketing Measurement Metrics Testing 126

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

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 103

Cost-Benefit OLAP Dashboards Visualization 103

IBM Big Data Hub

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 51

Data Warehouse Testing Sales Dashboards 51

Cloudera

OCTOBER 25, 2022

Enabling data and analytics in the cloud allows you to have infinite scale and unlimited possibilities to gain faster insights and make better decisions with data. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

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. To realize more value from your data, you should focus on building data visualizations that tell stories, and are easily understandable by your audience.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. OLTP does not hold historical data, only current data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

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. Previously, this customer had run this analytical workload on other types of databases, but the conventional databases didn’t handle it very well.

Data-driven 74

Data-driven Data Warehouse Data Processing Marketing 74

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. This should also include creating a plan for data storage services. Clean the data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

JUNE 15, 2023

The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. Moreover, increased regulatory requirements make it harder for enterprises to democratize data access and scale the adoption of analytics and artificial intelligence (AI).

Data Warehouse 95

Data Warehouse Data Lake Optimization Data-driven 95

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. The fill report is here: Leadership Vision for 2021: Data and Analytics. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

NOVEMBER 5, 2021

Analytics are evolving: The first generation, which was very IT-driven, gave way to a more democratized, self-service paradigm. Users want personalized analytics where, when, and how it makes sense to them. Users want personalized analytics where, when, and how it makes sense to them. Learn more.

Analytics 52

Analytics Data-driven Reporting Interactive 52

Laminar Security

MAY 3, 2023

When evaluating DSPM solutions , look for one that not only extends to all major cloud service providers, but also reads from various databases, data pipelines, object storage, disk storage, managed file storage, data warehouses, lakes, and analytics pipelines, both managed and self-hosted.

Management 52

Management Risk Risk Management Data Processing 52

Jet Global

APRIL 18, 2024

Companies that offer products to their customers demand analytics, all while juggling multiple priorities. Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities. Embedded analytics offers a strategic solution to this challenge.

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Reporting Sales 52

Jet Global

OCTOBER 31, 2023

If you are looking for a reporting solution that can handle complex data and deliver fast results, you might want to check out Jet Reports version 23.3, to customize your reports and dashboards. Web Capabilities : Create, manage, and run your Jet Reports data via the web browser utilizing Excel Online. Jet Reports 23.3

Reporting 52

Reporting Data Processing Dashboards Optimization 52

Jet Global

APRIL 30, 2024

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.

Analytics 52

Analytics Data Processing Dashboards Reporting 52

Jet Global

AUGUST 24, 2023

This approach helps mitigate risks associated with data security and compliance, while still harnessing the benefits of cloud scalability and innovation. Encryption ensures that sensitive data remains unreadable and protected from unauthorized access during data integration and transfer processes.

Finance 52

Finance Reporting Data Integration Risk 52