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 Data Warehouse 105

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

CIO Business Intelligence

APRIL 8, 2025

Build data validation rules directly into ingestion layers so that insufficient data is stopped at the gate and not detected after damage is done. Use lineage tooling to trace data from source to report. Understanding how data transforms and where it breaks is crucial for audibility and root-cause resolution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

erwin

MARCH 26, 2020

As a result, we’re seeing the rise of the “citizen analyst,” who brings business knowledge and subject-matter expertise to data-driven insights. Some examples of citizen analysts include the VP of finance who may be looking for opportunities to optimize the top- and bottom-line results for growth and profitability.

Data-driven 90

Data-driven Unstructured Data Enterprise Machine Learning 90

Cloudera

JUNE 1, 2021

These acquisitions usher in a new era of “ self-service ” by automating complex operations so customers can focus on building great data-driven apps instead of managing infrastructure. Datacoral powers fast and easy data transformations for any type of data via a robust multi-tenant SaaS architecture that runs in AWS.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Jet Global

MAY 28, 2019

Unlike a database, a data warehouse’s architecture is built for getting the data out, and not just through technical expertise, but for common users like management, executives, finance professionals, and other staff. A data warehouse is typically used by companies with a high level of data diversity or analytical requirements.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Ontotext

MARCH 20, 2024

Zenia Graph’s Salesforce Accelerator: A Use Case for Automation Zenia Graph’s Salesforce Accelerator goes beyond traditional data integration. It seamlessly integrates data from various sources like LinkedIn, ZoomInfo, DBpedia, Yahoo Finance, and even internal data sources – all within the familiar interface of Salesforce.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. Upsolver clusters run on Amazon EC2 spot instances and scale out automatically based on compute utilization.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

AUGUST 6, 2024

This enriched and standardized data can then facilitate accurate real-time analysis, improved decision-making, and enhanced operational efficiency across various industries, including ecommerce, finance, healthcare, and manufacturing.

Data Warehouse 104

Data Warehouse Data-driven Modeling Internet of Things 104

Alation

MAY 11, 2023

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region.

B2B 52

B2B Digital Transformation Marketing Data Processing 52

AWS Big Data

SEPTEMBER 13, 2024

CFM takes a scientific approach to finance, using quantitative and systematic techniques to develop the best investment strategies. Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data governance and analytics, mainly in the financial services industry.

Interactive 109

Interactive Strategy Cost-Benefit Data Governance 109

IBM Big Data Hub

APRIL 14, 2023

” In my words as the Co-founder and Managing Director at 1Direction Global: “Al Rabie IT & Finance team approached us for issues using spreadsheets for Budgeting & Forecasting process and did not have integrated solution for actual figures.

Forecasting 67

Forecasting Sales Dashboards Reporting 67

IBM Big Data Hub

OCTOBER 16, 2023

Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

Risk 70

Risk Modeling Management Metadata 70

CDW Research Hub

JANUARY 22, 2020

From evaluation and design to implementation, financing and managed services, Sirius can help you develop a successful cloud adoption strategy to optimize application and service delivery, while safely migrating, managing and running applications and workloads.

Measurement 52

Measurement Consulting Finance Risk 52

Alation

MAY 11, 2023

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region.

B2B 40

B2B Digital Transformation Marketing Data Processing 40

erwin

APRIL 16, 2024

Gathering this data isn’t possible without automation. erwin Data Intelligence has the functionality to scan the organization’s data estate and capture metadata about all data held in databases.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Octopai

AUGUST 11, 2024

It helps organizations to capture, visualize, and track data lineage for Apache Spark applications. By integrating Spline into your data processing pipelines, you can gain insights into the flow of data, understand data transformations, and ensure data quality and compliance.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

Peter James Thomas

OCTOBER 30, 2018

If you don’t work in Marketing, then maybe a further transformation will convince you: Most [Chief financial officers] are brought in to instill a finance strategy across the business; once that is done their role should no longer be needed. It may be to build a new (or a first) Data Architecture.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Alation

OCTOBER 28, 2021

Finally, it’s important to have the right people with the right training in charge of data governance. To do this, you should create teams based on role, including practitioners, IT team members, and finance. Accountability is important.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. According to a recent Gartner report, a staggering 61% of finance organizations haven’t yet adopted AI. This eliminates data fragmentation, a major obstacle for AI.

Finance 52

Finance Reporting Data Transformation Data-driven 52

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Data Warehouse 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

AUGUST 9, 2023

In fact, a recent survey of 155 finance executives revealed that 55% of respondents want an automated financial close by 2025. Without the right tool, your finance team is likely spending hours validating data uploads, rekeying general ledger entries and processing large files. Unfortunately, this experience is not uncommon.

Finance 52

Finance Reporting Management Enterprise 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

OCTOBER 30, 2023

Finance teams are turning to automation for fast processing and actionable insights. Together, CXO and Power BI provide you with access to insights from both EPM and BI data in one tool. You can now elevate their decision-making process by drilling down into more detailed data, and enriching EPM figures with non-financial data.

Dashboards 52

Dashboards Reporting Operational Reporting Software 52

Jet Global

JULY 16, 2024

By providing a consistent and stable backend, Apache Iceberg ensures that data remains immutable and query performance is optimized, thus enabling businesses to trust and rely on their BI tools for critical insights. It provides a stable schema, supports complex data transformations, and ensures atomic operations.

Dashboards 52

Dashboards Data-driven Reporting Business Intelligence 52

Jet Global

JULY 19, 2023

Data Connectivity Enhancements Data and content authors are the first users in the app building infrastructure and content. It is important for our customers to access advanced connectors and data transformation features so they can build a robust data layer.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Unlike competitors who lock you into their pre-built AI solutions, Logi AI empowers you with the freedom to choose.

Business Intelligence 52

Business Intelligence Dashboards Data-driven Reporting 52

Jet Global

MARCH 14, 2024

Data Lineage and Documentation Jet Analytics simplifies the process of documenting data assets and tracking data lineage in Fabric. It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance.

Analytics 52

Analytics Management Reporting Data Quality 52

Jet Global

NOVEMBER 7, 2023

Users will have access to out-of-the-box data connectors, pre-built plug-and-play analytics projects, a repository of reports, and an intuitive drag-and-drop interface so they can begin extracting and analyzing key business data within hours.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

Jet Global

MAY 1, 2023

Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Requirement Multi-Source Data Blending Data from multiple sources is compiled and the output is a single view, metric, or visualization. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MARCH 31, 2025

Finance teams often struggle with the complexity of implementing and maintaining traditional systems, hindering their ability to plan, close, and report effectively. JustPerforms intuitive interface enables finance teams to hit the ground running. Many finance teams struggle with patching together siloed systems and legacy products.

Forecasting 52

Forecasting Finance Reporting Data-driven 52

AWS Big Data

JANUARY 29, 2025

This configuration allows you to augment your sensitive on-premises data with cloud data while making sure all data processing and compute runs on-premises in AWS Outposts Racks. Solution overview Consider a fictional company named Oktank Finance. In the following sections, you will implement this architecture for Oktank.

Big Data 91

Big Data Data Analytics Analytics Interactive 91

CIO Business Intelligence

JANUARY 24, 2024

In a world where healthcare, finance, urban planning, agriculture, and countless other sectors grapple with ever more intricate issues, the demand for intelligent automation that can adapt and excel has never been more pressing. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

IoT 118

IoT Machine Learning Internet of Things Optimization 118