CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 93

Analytics Data Warehouse Data Lake Metadata 93

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. If you’d like some resources in this area, we have posts on related business intelligence books and business intelligence podcasts you can use to start your research. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. Slow requirements led technology leaders to demand proactive business intelligence. The request model started to fray.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.

Data Strategy 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

JULY 29, 2020

It’s also important to consider your business objectives, both inside and outside finance. While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. The software is exactly the same and will remain that way for the foreseeable future.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

Paul Blogs on BI

MAY 13, 2024

Many BusinessObjects customers now use Cloud based data warehouses or data lakes and Snowflake is one of the most popular solutions chosen. By using the new Web Intelligence as a data source feature, you can dramatically reduce the number of times you would need to query your data warehouse.

Data Warehouse 52

Data Warehouse Data Lake Reporting Dashboards 52

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. Steps for developing an effective data strategy include: 1.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

AWS Big Data

AUGUST 27, 2024

This unified view helps your sales, service, and marketing teams build personalized customer experiences, invoke data-driven actions and workflows, and safely drive AI across all Salesforce applications. He is passionate about ensuring customers can build and optimize their data lakes to meet stringent security requirements.

Data Lake 109

Data Lake Analytics Data-driven Management 109

Sisense

MAY 11, 2021

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

JULY 22, 2019

When you don’t spend long hours gathering stats from all kinds of different formats, when your real-time data is always at hand, and when you have a clear picture of what’s going on at the moment, you can react faster and better. A BI tool is a binding element that unites your business objectives and resources.

Business Intelligence 103

Business Intelligence Cost-Benefit Dashboards Visualization 103

Jet Global

AUGUST 14, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Wayne Yaddow

FEBRUARY 18, 2025

Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis. Carefully curated test data (realistic samples, edge cases, golden datasets) that reveal issuesearly.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Occam's Razor

MAY 18, 2010

, don't allow you to do on the fly segmentation of all your data (not without asking you to change javascript script tags every time you need to segment something, or not without paying extra or paying for additional "data warehouse" solutions). Ask a lot of questions. Tap into the tribal knowledge.

Analytics 124

Analytics Key Performance Indicator Metrics Measurement 124

Paul Blogs on BI

NOVEMBER 13, 2023

If the data is not correct then its garbage in and garbage out, or as I have always said : BIG DATA + BAD DATA = BIG BAD DATA However, when it comes to a good data strategy, it’s not just about the quality of the data, it’s also about the design and functionality of the structure where it is housed.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

Birst BI

OCTOBER 30, 2018

This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Paul Blogs on BI

JANUARY 12, 2018

At the same time, having applications in the Cloud that still access on-premise data sources is not ideal so many organizations are waiting until they move their Data Warehouses or key BI data sources into the Cloud before moving BusinessObjects there as well.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

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. Sumitha AP is a Sr.

Sales 52

Sales Data Warehouse Visualization Testing 52

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Jet Global

OCTOBER 2, 2019

Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Occam's Razor

JUNE 28, 2010

To steal your energy away from being just in the report / data production business. To encourage you to do better than spend a lifetime implementing analytics tools , building data warehouses , chasing the next shiny object. My recommendation has been: 1. Identify your Macro Conversion (focus on this a lot!).

Metrics 111

Metrics Key Performance Indicator Data-driven Marketing 111

datapine

FEBRUARY 22, 2022

Decide which are necessary to your business intelligence strategy. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Define a budget. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JANUARY 20, 2023

It provides rapid, direct access to trusted data for data scientists, business analysts, and others who need data to drive business value. Focus on Outcomes Analytics and AI hold the promise of driving better business insights from data warehouses, streams, and lakes.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives). Technology cost reduction / avoidance.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. However, data mesh is not about introducing new technologies.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

CIO Business Intelligence

FEBRUARY 14, 2024

Whether it is a CFO pursuing a reduction in the time to close the quarter to a Head of Supply Chain wanting to optimize complex logistics, today’s enterprises pull data from multiple input sources—from legacy databases and applications to modern cloud data warehouses and platforms.

Data-driven 72

Data-driven Uncertainty Enterprise Data Warehouse 72

Alation

JULY 12, 2022

Many things have driven the rise of the cloud data warehouse. The cloud can deliver myriad benefits to data teams, including agility, innovation, and security. More users can access, query, and learn from data, contributing to a greater body of knowledge for the organization. Conversation rate. Percentage of memory used.

Cost-Benefit 52

Cost-Benefit Data Warehouse Key Performance Indicator Testing 52

IBM Big Data Hub

JULY 27, 2023

With a summary of business objectives, developers can spend less time learning about the business playbook and more time coding. Powering a knowledge management system with a data lakehouse Organizations need a data lakehouse to target data challenges that come with deploying an AI-powered knowledge management system.

Management 54

Management Enterprise Modeling Data Quality 54

Alation

AUGUST 9, 2021

Pologruto solved this problem by giving people the option to analyze data in the tool of their choice: Jupyter Notebooks for data scientists and more technical teams, and Sigma for business teams. Let Humans Be Humans Part 1: What-If Scenarios.

Analytics 98

Analytics Data-driven Data Analytics Contextual Data 98

Alation

AUGUST 26, 2021

Why does the business want to leverage data intelligence? Your goals should reflect your business’ objectives and clearly define by what metrics you will deem those goals successful. Some examples of goals and accompanying use cases include: The business wants to make better use of customer data.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

OCTOBER 24, 2024

Data security is one of the key functions in managing a data warehouse. With Immuta integration with Amazon Redshift , user and data security operations are managed using an intuitive user interface. This blog post describes how to set up the integration, access control, governance, and user and data policies.

Data Warehouse 110

Data Warehouse Business Objectives Data-driven Management 110

CIO Business Intelligence

MARCH 13, 2025

Scott Bickley, advisory fellow at Info-Tech Research Group, sees it as Microsoft pushing clients toward its new Fabric integrated data management platform, which features Power BI and a slew of other capabilities including real-time intelligence, data science, data warehouses, and data factories.

Cost-Benefit 93

Cost-Benefit IT Data Warehouse Business Objectives 93

CIO Business Intelligence

OCTOBER 14, 2024

You don’t align strategic IT initiatives with company goals Failing to align IT initiatives with broader business goals and future market trends is a key sign of a CIO who is not transformational, says O’Neill.

Digital Transformation 131

Digital Transformation Experimentation Cost-Benefit Risk 131

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52