CIO Business Intelligence

APRIL 25, 2024

,” said Tyler Carlson, VP of business development and strategic partnerships at Salesforce. Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work.

Data Integration 96

Data Integration Data Lake Metadata Data Warehouse 96

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 136

Data mining Data-driven Statistics OLAP 136

AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. We leverage the power of Snowflake to advance the correlation of events as you scale data ingestion.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting. This will be your OLTP data store for transactional data.

Data Warehouse 121

Data Warehouse Dashboards Risk Management Risk 121

datapine

NOVEMBER 19, 2019

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data Discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative business intelligence to learn more about how they help companies.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

CIO Business Intelligence

AUGUST 17, 2023

But with cloud, there could be an event that causes your consumption to spiral and then tomorrow you have to go back to the CFO and explain you need another R2 million.” He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. It was that simple.”

Data Warehouse 88

Data Warehouse Cost-Benefit Digital Transformation Strategy 88

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 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. Business Intelligence

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116

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 73

Dashboards Data Warehouse Visualization Data Processing 73

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 93

Management Data Warehouse Metrics Dashboards 93

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. AWS Glue is a fully managed ETL service that makes it easy to prepare and load data for analysis.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

CIO Business Intelligence

SEPTEMBER 12, 2022

Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. Fazal instructed his IT team to collect every bit of data and methodically determine its use later, rather than lose “precious” data in the rush to build a massive data warehouse. “We

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. A whole lot has to happen behind the scenes to succeed and get tangible business results. It isn’t easy.

Machine Learning 139

Machine Learning Cost-Benefit Data-driven Strategy 139

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies.

Strategy 116

Strategy Digital Transformation Cost-Benefit Forecasting 116

CIO Business Intelligence

SEPTEMBER 10, 2022

“We moved our major data platforms to the cloud and implemented data hubs for Customer and Operations,” Mohan says. Mohan notes that her team simultaneously created DataOps frameworks that have improved the airline’s ability to ingest and consume new data sources in a matter of hours rather than weeks.

Analytics 142

Analytics Machine Learning Digital Transformation Data Warehouse 142

CIO Business Intelligence

JUNE 13, 2022

The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA. The clinical data warehouse analysis is available 24 hours a day, seven days a week, both online and via text. Artificial intelligence is the next step,” Telle said. SAP HANA provided the toolbox for the various functions.

Data Warehouse 94

Data Warehouse Software Manufacturing Machine Learning 94

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

Data Lake 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

CIO Business Intelligence

OCTOBER 19, 2023

Handling streaming data Streaming data is continuous and unending, and consists of an uninterrupted sequence of recorded events. Traditional batch processing techniques are designed for static datasets with well-defined beginnings and ends, making it difficult to work on streaming data that flows uninterruptedly.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 78

Risk Modeling Management Metadata 78

CIO Business Intelligence

JUNE 21, 2023

While the company was well into its cloud journey when the pandemic hit, such a seismic event for a food distributor called for a major overhaul of its strategic vision, R&D plans, and digital transformation, Peck says. Like most companies, Sysco traditionally ran its B2B e-commerce business in a bulk reordering fashion.

IT 74

IT B2B Digital Transformation Sales 74

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. to create forecast tables and visualize the data. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 82

Forecasting Data Warehouse Machine Learning Modeling 82

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

JUNE 23, 2023

The focus here should be on considering all ways your customers currently consume data as well as new ways they might want to achieve better results.

Data Strategy 112

Data Strategy Strategy Visualization Consulting 112

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

JANUARY 16, 2023

Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 143

Cost-Benefit Digital Transformation Data Warehouse Data-driven 143

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Data Strategy 114

Data Strategy Strategy Machine Learning Data-driven 114

Jet Global

JULY 23, 2019

insightsoftware’s Excelapalooza, one of the largest Microsoft Excel learning events in the country, is no exception. Who: insightsoftware, now including Jet Global reporting and analytics, is hosting the event for any and all business professionals who use Excel, Jet, Microsoft Dynamics, Epicor, Sage, or any other ERP system.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

InsightOut

AUGUST 6, 2021

On average, humans receive 90% of their sensory inputs through the eyes, and about 50% of their brainsxe2x80x99 neurons are solely visual data processors. For example, InsightOut offers Data Consolidation solutions that empower companies to leverage multiple data streams to create aggregated data flows from disparate data sources.

Visualization 52

Visualization Software Testing Data Warehouse 52

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue.

Digital Transformation 134

Digital Transformation IoT Data-driven KPI 134

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. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. ” Chris Wallingford, Director of Business Intelligence, Tessitura Network.

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98