CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Sisense

JANUARY 1, 2020

Data and analytics are all about finding patterns, figuring out what’s next, and creating a better world. In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Few worlds have a pace of innovation quite like data and analytics. Sisense BloX 2.0:

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Data Virtualization

MARCH 17, 2022

This growth is due to diverse data generators across consumer and enterprise landscapes, including hundreds of cloud applications, smartphones, websites, and social media networks, with each source generating. The post Don’t Drown in Redundant Data Copies.

Data Strategy 52

Data Strategy Strategy Data Integration Enterprise 52

Data Virtualization

MARCH 17, 2022

This growth is due to diverse data generators across consumer and enterprise landscapes, including hundreds of cloud applications, smartphones, websites, and social media networks, with each source generating. The post Don’t Drown in Redundant Data Copies.

Data Strategy 52

Data Strategy Strategy Data Integration Enterprise 52

CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

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 98

IoT Data Warehouse Internet of Things Machine Learning 98

Timo Elliott

JANUARY 6, 2022

The SAP Data Intelligence Cloud solution helps you simplify your landscape with tools for creating data pipelines that integrate data and data streams on the fly for any type of use – from data warehousing to complex data science projects to real-time embedded analytics in business applications.

IT 133

IT Metadata Data-driven Data Governance 133

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 99

Data Lake Sales Data Warehouse Snapshot 99

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

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. For detailed implementation guidance, refer to Unstructured data management and governance using AWS AI/ML and analytics services.

Data Governance 92

Data Governance Unstructured Data Metadata Data Lake 92

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

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. Your data strategy and roadmap will eventually lead you to a BI strategy.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

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. AI and Analytics is only good as the quality of data been used for it. Data silos.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

CIO Business Intelligence

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. A unified data ecosystem enables this in real time.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 115

Slice and Dice Cost-Benefit Risk Data Governance 115

Ontotext

MAY 2, 2024

Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

JUNE 23, 2023

In this post, we explain how Imperva’s solution enables users across the organization to explore, visualize, and analyze data using Amazon Redshift Serverless , Amazon Athena , and QuickSight. Challenges and needs A modern data strategy gives you a comprehensive plan to manage, access, analyze, and act on data.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

Cloudera

SEPTEMBER 2, 2020

Build use case-driven data applications with easy-to-use, self-serve experiences, such as Data Warehouse and Machine Learning, on CDP Private Cloud. Migrate from proprietary on-premises legacy analytical databases to CDP Private Cloud to increase agility, flexibility, cost-effectiveness, and meet critical SLAs.

Cost-Benefit 67

Cost-Benefit Data Warehouse Data Lake Machine Learning 67

Sisense

DECEMBER 23, 2019

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. It’s also a better way to monetize your data in the short term.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. For example, you need to develop a sales strategy and increase revenue. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

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

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. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 73

Data Warehouse Data-driven Snapshot Testing 73

AWS Big Data

JANUARY 31, 2023

Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud. The data sharing feature allows data owners to group databases, tables, and views in an Amazon Redshift cluster and share it with other Amazon Redshift clusters within or across AWS accounts.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

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 72

Predictive Modeling Data Warehouse Enterprise Management 72

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Deepti Venuturumilli is a Sr.

Sales 52

Sales Data Warehouse Visualization Testing 52

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Cloudera

APRIL 12, 2021

Leahy, who also spoke on the Data Cloud Summit panel, noted that cybersecurity is an ongoing challenge for NASA’s roughly 90 satellites in orbit right now—some were created and launched before the concept of cybersecurity existed. This is where data strategy and digital modernization come into play.

Enterprise 53

Enterprise IT Digital Transformation Data Warehouse 53

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

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. That’s not to say that a decentralized data strategy wholly replaces the more traditional centralized data initiative — Maccaux emphasizes that there is a need for both.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

Cloudera

NOVEMBER 25, 2020

In any pharma, one of the largest data problems is variety, and it has been unsolved for the last 11 years, because: . Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. The Vision of a Discovery Data Warehouse.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58