AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 96

Data Governance Unstructured Data Metadata Data Lake 96

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Whether data protection regulations like GDPR, CCPA, HIPAA, etc. Proper levels of data protection and data security.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

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. Overall data architecture and strategy. Optimizing Snowflake functionality.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies. What does a business intelligence analyst do?

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

CIO Business Intelligence

DECEMBER 1, 2022

Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months. But there is more room to go.

Digital Transformation 130

Digital Transformation IoT Data-driven KPI 130

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 124

Data Warehouse Dashboards Risk Management Risk 124

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging.

IoT 85

IoT Data Warehouse Internet of Things Machine Learning 85

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

Jet Global

NOVEMBER 5, 2020

Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting based on a data warehouse model is a well-proven solution for companies with robust reporting requirements.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

Sisense

MARCH 6, 2019

The BI industry takes Gartner’s perspective very seriously, and year after year, it’s very common to see messages that were first described in the Gartner summits making their way into the websites of many analytics vendors. The crowd who attends these events are made mostly of analytics leaders in Enterprises.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

Smart Data Collective

APRIL 29, 2020

A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Solutions for the various data management processes need to be carefully considered. Data transformation. Data analytics and visualisation. Reference data management.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 133

Analytics Data Science Unstructured Data Data mining 133

AWS Big Data

MAY 28, 2024

The ingested data gets transformed and analyzed in near real time using Amazon Managed Service for Apache Flink. Stream data can further be enriched using lookup data hosted in a data warehouse such as Amazon Redshift. The transformed IoT sensor data can be stored in DynamoDB.

IoT 92

IoT Analytics Dashboards Data-driven 92

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 ROI 183

CDW Research Hub

OCTOBER 25, 2019

As we review data transformation and modernization strategies with our clients, we find many are investigating Snowflake as a data warehouse solution due to its ease of use, speed, and increased flexibility over a traditional data warehouse offering. Know how to handle your data. Sirius can help.

Data Warehouse 40

Data Warehouse Testing Strategy Data-driven 40

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. The more effectively a company uses data, the better it performs. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

APRIL 6, 2022

Enterprises are increasingly moving towards bringing together a human-centric experience with innovations led by cutting-edge technologies. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation.

Experimentation 83

Experimentation Data Lake Uncertainty Enterprise 83

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. D&A Strategy/infusing business with (overall) 16. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13.

IT 52

IT Data Lake Strategy Data Science 52

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 124

Analytics Data Science Statistics Unstructured Data 124

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 85

IT Forecasting Data Lake Enterprise 85

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. DATA FOR GOOD. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

DECEMBER 9, 2020

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . This is why Globe Telecom established the Enterprise Data Office (EDO).

Predictive Modeling 74

Predictive Modeling Data Warehouse Enterprise Data Strategy 74

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. In this post, we focus on synchronizing your data from Salesforce to Snowflake (on AWS) without writing code.

Data Warehouse 77

Data Warehouse Data-driven Snapshot Testing 77

datapine

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. You need to be good at examining many different sources of data and then making accurate conclusions about them.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

MAY 28, 2022

Among the issues that led to an overfull pipeline included department heads pushing for pet projects that may not have strategic benefits for enterprise at large, the classification of too many big projects with iffy ROI as urgent, and what Das calls “big, shiny ideas,” like crypto projects that have not been properly vetted.

IT 136

IT ROI Cost-Benefit Technology 136

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 114

Analytics IoT Data-driven Snapshot 114

CIO Business Intelligence

MAY 25, 2022

Among the issues that led to an overfull pipeline included department heads pushing for pet projects that may not have strategic benefits for enterprise at large, the classification of too many big projects with iffy ROI as urgent, and what Das calls “big, shiny ideas,” like crypto projects that have not been properly vetted.

IT 113

IT ROI Cost-Benefit Technology 113

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 96

Data Warehouse Snapshot Testing Management 96

Cloudera

FEBRUARY 11, 2019

Also, its ability to develop a product strategy that meets the market’s requirements, to comprehend overall market trends, and to influence or lead the market when necessary. About the Author: Lakshmi Randall is Director of Product Marketing at Cloudera, the enterprise data cloud company.

Management 43

Management Metadata Analytics Machine Learning 43

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. Analytical Velocity: CDP offers experiences that can meet different analytical velocity requirements e.g., batch or real-time analytics. Introduction.

Strategy 100

Strategy Cost-Benefit Visualization Data Warehouse 100

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

FineReport

DECEMBER 27, 2021

Modern enterprise business intelligence (BI) tools and practices enable quick decision making. What is enterprise business intelligence? Business intelligence is the collection, storage, and analysis of data from firm activities to create a holistic perspective of a business. Enterprise BI vs. Self-service BI. Definition.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

IBM Big Data Hub

APRIL 24, 2023

Additionally, the increase in online transactions and web traffic generated mountains of data. Enter the modernization of data warehousing solutions. Companies realized that their legacy or enterprise data warehousing solutions could not manage the huge workload.

Data Warehouse 90

Data Warehouse Data Lake Cost-Benefit Enterprise 90

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Data Management. Big Data Storage Optimization. Data Governance.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52