CIO Business Intelligence

FEBRUARY 20, 2024

The company can also unify its knowledge base and promote search and information use that better meets its needs. The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital.

Data Architecture 80

Data Architecture Unstructured Data Manufacturing IT 80

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 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

CIO Business Intelligence

MARCH 4, 2024

In an era of business where every industry requires its stakeholders to be capable of quick pivots and sharp turns, siloed information that ultimately slows decision-making can be the ultimate vulnerability. In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well.

Insurance 82

Insurance Strategy Data Governance Data Integration 82

AWS Big Data

APRIL 11, 2023

With these AWS services, retailers can build an end-to-end inventory management and forecasting solution that provides real-time insights into inventory levels and customer behavior, enabling them to make informed decisions that drive business growth and customer satisfaction. The following diagram illustrates a sample architecture.

Forecasting 73

Forecasting Management IoT Data-driven 73

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

IBM Big Data Hub

APRIL 14, 2023

The system calculated the base budget data based on trend as a starting point for the budgeting exercise, with multiple versions provided for better control and movements. The power to take informed decision Al Rabie was able to achieve accurate forecasting during uncertain market conditions by developing 24-month rolling forecast models.

Forecasting 72

Forecasting Sales Dashboards Reporting 72

CIO Business Intelligence

JANUARY 19, 2024

To qualify for the aCAP exam, you need a master’s degree and less than three years of related experience in data or analytics. 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

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. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

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. Additionally, SDK v2.0

Slice and Dice 77

Slice and Dice Dashboards Analytics Interactive 77

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 79

Data Strategy Strategy IT Consulting 79

IBM Big Data Hub

OCTOBER 16, 2023

Most of today’s largest foundation models, including the large language model (LLM) powering ChatGPT, have been trained on information culled from the internet. But how trustworthy is that training data? It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data.

Risk 77

Risk Modeling Management Metadata 77

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

OCTOBER 18, 2022

“In the strategic data assessment, when people were like, ‘Oh, you can show us the ice cream sales?’ I think you have to toot your own horn that, yes, we have this information available.”. When the business operations team first presented the new end-of-game report in an executive meeting, the owners asked to be included.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

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. Partition Transform Information.

Snapshot 89

Snapshot Data Warehouse Machine Learning Cost-Benefit 89

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

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 Data Science 52

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 104

Management Metadata Analytics Dashboards 104

Alation

JUNE 28, 2022

Collecting and using data to make informed decisions is the new foundation for businesses. The key term here is usable : Anyone can be data rich, and collect vast troves of data. This is where metadata, or the data about data, comes into play. This information is metadata. Who’s starring in it.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For more information on how to connect to a database, refer to tDBConnection. For Port , enter 5349.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

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

CIO Business Intelligence

JANUARY 9, 2023

Customers are increasingly demanding access to real-time data, and freight transportation provider Estes Express Lines is among the rising tide of enterprises overhauling their data operations to deliver it. It was frustrating for the business, to say the least,” Cournoyer says. “At

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

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

Octopai

NOVEMBER 23, 2020

In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services. Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. A New Approach to Enterprise Business Intelligence.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

IBM Big Data Hub

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools. Therefore, we want to prioritize long string matches over short string matches.

Data Quality 74

Data Quality Testing Data Warehouse Unstructured Data 74

Sisense

MAY 11, 2021

The right data model + artificial intelligence = augmented analytics. However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. Big data challenges and solutions. Dig into AI. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

JUNE 14, 2022

I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”. So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Analytics, Chief Data Officer, Data Management

Data Transformation 140

Data Transformation Data-driven Data Strategy Strategy 140

AWS Big Data

JULY 20, 2023

This data is then used by various applications for streaming analytics, business intelligence, and reporting. Metadata tables offer insights into the physical data storage layout of the tables and offer the convenience of querying them with Athena version 3.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

AWS Big Data

MARCH 3, 2023

Every event in the data source can be relevant, and our customers don’t tolerate data loss, poor data quality, or discrepancies between the source and Tricentis Analytics. While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. There’s also the issue of bias.

Data Warehouse 138

Data Warehouse Digital Transformation Data-driven Reporting 138

AWS Big Data

NOVEMBER 7, 2023

Second, organizations still need transformations like cleansing, deduplication, and combining datasets for analysis and machine learning (ML). For these, AWS Glue provides fast, scalable data transformation.

Dashboards 75

Dashboards Data-driven Data Integration Data Lake 75

CIO Business Intelligence

OCTOBER 11, 2022

The new approach involved federating its vast and globally dispersed data repositories in the cloud with Amazon Web Services (AWS). Unifying its data within a centralized architecture allows AstraZeneca’s researchers to easily tag, search, share, transform, analyze, and govern petabytes of information at a scale unthinkable a decade ago. .

Machine Learning 145

Machine Learning Data-driven Testing Data Science 145

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

JANUARY 4, 2018

Let’s look at the benefits of, and the need for, traditional ETL as well as self-serve data preparation performed by business users. Give the Power to Business Users. When business users need information they don’t always need exacting, detailed data extraction and analysis.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

CIO Business Intelligence

AUGUST 3, 2023

Lenovo Device Intelligence can also help to optimize IT support costs, reduce employee downtime, and improve the user experience, the company says. But before consolidating the required data, Lenovo had to overcome concerns around sharing potentially sensitive information.

Analytics 88

Analytics Data Lake Metadata Cost-Benefit 88