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 123

Data Governance Data Transformation Strategy Reporting 123

Octopai

MARCH 31, 2021

In other words, kind of like Hansel and Gretel in the forest, your data leaves a trail of breadcrumbs – the metadata – to record where it came from and who it really is. So the first step in any data lineage mapping project is to ensure that all of your data transformation processes do in fact accurately record metadata.

Metadata 130

Metadata Data Transformation Business Intelligence Reporting 130

CIO Business Intelligence

MARCH 4, 2024

These domain data leaders often cite the diminishing returns and significant effort of central data team engagement. Additionally, data silos and fragmentation often occur inorganically as in the case of merger or acquisition scenarios.

Insurance 96

Insurance Strategy Data Governance Data Integration 96

AWS Big Data

NOVEMBER 9, 2023

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. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Data Transformation 98

Data Transformation Management Risk Management Risk 98

CIO Business Intelligence

FEBRUARY 16, 2023

But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations. Digitizing was our first stake at the table in our data journey,” he says.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). Karthik Tharmarajan is a Senior Specialist Solutions Architect for Amazon QuickSight.

Dashboards 75

Dashboards Statistics Data Collection Business Intelligence 75

AWS Big Data

APRIL 11, 2023

ElastiCache manages the real-time application data caching, allowing your customers to experience microsecond response times while supporting high-throughput handling of hundreds of millions of operations per second. In the inventory management and forecasting solution, AWS Glue is recommended for data transformation.

Forecasting 74

Forecasting Management IoT Data-driven 74

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

AWS Big Data

DECEMBER 5, 2023

For files with known structures, a Redshift stored procedure is used, which takes the file location and table name as parameters and runs a COPY command to load the raw data into corresponding Redshift tables.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

IBM Big Data Hub

APRIL 14, 2023

About 1Direction Global Based in Riyadh, Saudi Arabia, with a global presence in Australia and India, IBM Gold Business Partner 1Direction Global specializes in enterprise performance management and business intelligence. Focus areas include IBM solutions financial consolidation and reporting, and data transformation.

Forecasting 70

Forecasting Sales Dashboards Reporting 70

IBM Big Data Hub

OCTOBER 16, 2023

A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data.

Risk 75

Risk Modeling Management Metadata 75

CIO Business Intelligence

JANUARY 12, 2023

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.

Data Strategy 94

Data Strategy Strategy IT Consulting 94

CIO Business Intelligence

OCTOBER 18, 2022

It wasn’t just a new venue for the team, it was an opportunity to reimagine business operations. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

CIO Business Intelligence

JANUARY 24, 2024

“Transforming reliable data into an asset that spans the entire enterprise requires data users to possess a thorough understanding of the complete data lifecycle within the organization,” Williams. This empowers data users to make decisions informed by data and in real-time with increased confidence.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

APRIL 29, 2020

The techniques for managing organisational data in a standardised approach that minimises inefficiency. Extraction, Transform, Load (ETL). The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

CIO Business Intelligence

JANUARY 19, 2024

It covers programming skills; managing and improving data; transforming, accessing, and manipulating data; and how to work with popular data visualization tools.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Sisense

FEBRUARY 26, 2020

Data-driven companies typically enjoy an increase in profit of eight to ten percent and a ten percent reduction in overall cost. As much as 30% also say that R&D has also been fundamentally changed by Big Data and analytics. The best thing I can say about Sisense is that we never ran into a use case that we couldn’t do.

Digital Transformation 90

Digital Transformation Analytics Cost-Benefit Data-driven 90

Jen Stirrup

NOVEMBER 30, 2021

In this session, we will start R right from the beginning, from installing R through to data transformation and integration, through to visualizing data by using R in PowerBI. Then, we will move towards powerful but simple to use datatypes in R such as data frames.

Dashboards 90

Dashboards Visualization Data Transformation Publishing 90

AWS Big Data

JANUARY 27, 2023

You can visualize the PCA insights in the business intelligence (BI) tool Amazon QuickSight for advanced analysis. In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes.

Analytics 60

Analytics Reporting Dashboards Visualization 60

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 78

Slice and Dice Dashboards Analytics Interactive 78

Cloudera

AUGUST 8, 2022

These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Snapshot 88

Snapshot Data Warehouse Machine Learning Cost-Benefit 88

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

CIO Business Intelligence

JUNE 13, 2022

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. Angel-Johnson shares that perspective. “I

IT 144

IT Digital Transformation Strategy Internet of Things 144

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? How Can I Build a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

Sisense

DECEMBER 12, 2019

Here’s the crux of the problem: businesses have become masters at collecting data but are failing to invest in a business intelligence and data analytics solution to derive value from that data. Trying to fit your business intelligence cost into an existing budget is an uphill battle for many organizations.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

CIO Business Intelligence

JUNE 29, 2022

If you’re used to using SQL Server Analysis Services for business intelligence, Analysis Services offers that enterprise-grade analytics engine as a cloud service that you can also connect to Power BI. Azure Data Factory. The reason Azure has so many analytics services is so you can build your entire stack there. Microsoft.

Data Lake 115

Data Lake Analytics Data Warehouse Machine Learning 115

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. Let’s take a common use-case for Business Intelligence reporting. Figure 2: Example BI reporting data pipeline.

Management 110

Management Cost-Benefit Data Transformation Optimization 110

Data Virtualization

JANUARY 20, 2021

Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ll have read all about data virtualisation and you’ve.

Data Warehouse 59

Data Warehouse Data Architecture Data Transformation IT 59

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

NOVEMBER 13, 2023

Gameskraft used Amazon Redshift workload management (WLM) to manage priorities within workloads, with higher priority being assigned to the extract, transform, and load (ETL) queue that runs critical jobs for data producers.

Data Warehouse 89

Data Warehouse Data Lake Analytics Data Science 89

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 102

Management Metadata Analytics Dashboards 102

CIO Business Intelligence

DECEMBER 6, 2023

Airbus was conceiving an ambitious plan to develop an open aviation data platform, Skywise, as a single platform of reference for all major aviation players that would enable them to improve their operational performance and business results and support Airbus’ own digital transformation.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Modeling 116

AWS Big Data

APRIL 27, 2023

With these features, you can now build data pipelines completely in standard SQL that are serverless, more simple to build, and able to operate at scale. Typically, data transformation processes are used to perform this operation, and a final consistent view is stored in an S3 bucket or folder.

Data Lake 71

Data Lake Snapshot Optimization Data Transformation 71