CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 90

Analytics Data Lake Metadata Cost-Benefit 90

CIO Business Intelligence

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 126

Analytics Machine Learning Software Data Quality 126

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1. Building a Data Culture Within a Finance Department.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

Data Lake 110

Data Lake Analytics Data Warehouse Machine Learning 110

IBM Big Data Hub

OCTOBER 24, 2017

At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media. If you’re holding an event for the very first time, what helps you gauge its success?

Data Transformation 73

Data Transformation Analytics IT 73

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Smart Data Collective

JULY 25, 2019

When it comes to the use of modern big data technologies by hospitals, it is about health care and saving lives. These systems rely heavily on big data to improve efficiency and cost-effectiveness. It is simple and convenient to use outsourcing IT services when you need to get a perfect big data solution. Conclusion.

Big Data 96

Big Data Data Transformation Management Software 96

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 98

Analytics Visualization Data Integration Cost-Benefit 98

CIO Business Intelligence

JUNE 13, 2022

Ever increasing demands for transformation. Growing cybersecurity, data privacy threats. According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives.

IT 144

IT Digital Transformation Strategy Internet of Things 144

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 107

Management Metadata Analytics Dashboards 107

Peter James Thomas

MAY 10, 2019

But the 5 questions I highlight are as follows: Why does my organisation need to embark on a Data Transformation – what will it achieve for us? Do I have the expertise and experience on hand to scope a Data Transformation and then deliver it? How long will a Data Transformation take and how much will it cost?

Data Transformation 50

Data Transformation Consulting Publishing Management 50

Rocket-Powered Data Science

MARCH 20, 2023

This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.” Instead, what we really need is for our business to run at the speed of data. Datasphere is not just for data managers.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Data sharing also provided the flexibility to independently scale the producer and consumer data warehouses.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

Analytics Vidhya

MAY 13, 2024

Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AI researcher and practitioner’s toolbox.

Machine Learning 259

Machine Learning Analytics IT Forecasting 259

DataKitchen

JULY 27, 2023

While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JANUARY 27, 2023

Organizations with contact centers benefit from advanced analytics on their call recordings to gain important product feedback, improve contact center efficiency, and identify coaching opportunities for their staff. Athena lets you create views by cross-referencing the data across multiple tables.

Analytics 62

Analytics Reporting Dashboards Visualization 62

Jet Global

MARCH 14, 2024

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Or does it?

Analytics 52

Analytics Management Reporting Enterprise 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

AWS Big Data

DECEMBER 5, 2023

This frees up our local computer space, greatly automates the survey cleaning and analysis step, and allows our clients to easily access the data results. This cut down significantly on analytical turnaround times. The first step in this process is mapping the digital divide.

Measurement 85

Measurement Dashboards Data Warehouse Analytics 85

AWS Big Data

SEPTEMBER 19, 2023

However, our legacy data warehouse-based solution was not equipped for this challenge. However, with a minimum data freshness of 10 minutes, this architecture inherently didn’t align with the near real-time fraud detection use case. Amazon DynamoDB is another data source for our Streaming 2.0

Analytics 81

Analytics Risk Big Data Machine Learning 81

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. Dresner reported that nearly 97% of respondents in their Big Data Analytics Market Study consider Big Data to be either important or critical to their businesses. Adapt, or die, many executives feel.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website.

Slice and Dice 83

Slice and Dice Dashboards Analytics Interactive 83

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Why did Orca choose Apache Iceberg?

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! You may not be an analytics expert and you may find terms like PMML Integration somewhat daunting. It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models.

Predictive Modeling 62

Predictive Modeling Data mining Modeling Predictive Analytics 62

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 91

Metadata Data Lake Visualization Data Transformation 91

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

CIO Business Intelligence

MARCH 4, 2024

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

Insurance 84

Insurance Strategy Data Governance Data Integration 84

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization. What are examples of data pipelines?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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. What Is Data Quality Management (DQM)? But first, let’s define what data quality actually is. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

NOVEMBER 17, 2022

Data has become a top priority for businesses large and small, and while some companies have already established a digital strategy, many of them are just getting started. However, the ability to drive digital technology transformation is going to be the focus,” says Stephen Van Vreede, resume expert at IT Tech Exec.

Data Governance 109

Data Governance Data Transformation Strategy Reporting 109