CIO Business Intelligence

APRIL 10, 2019

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis of business information necessary to help users make data-driven business decisions.

Business Intelligence 111

Business Intelligence Data Warehouse Data-driven Software 111

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

CIO Business Intelligence

FEBRUARY 15, 2024

Following are ways CIOs can help overcome disconnect in the C-suite on the evolving nature of their role in an effort to better enable support for their digital strategies. The dialogue with the board and with human resources is fruitful, and the managers are receptive, which greatly facilitates the digital strategy.”

Strategy 113

Strategy Digital Transformation Cost-Benefit Forecasting 113

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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 110

Data Strategy Strategy Visualization Consulting 110

TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 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. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

CIO Business Intelligence

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. Oracle is also planning to extend the service to enterprises that have their data and applications in their own data centers.

Strategy 94

Strategy Metadata Enterprise Modeling 94

FineReport

JULY 22, 2021

What is business intelligence?. Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Free Download.

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business? What data do you collect?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Octopai

SEPTEMBER 10, 2020

Business Intelligence & Analytics: It’s a hard knock life for these guys. This is why a data lineage tool, namely an automated data lineage tool, is king for Business Intelligence teams. . Data lineage powers BI insights. This is where data lineage comes into play.

Business Intelligence 52

Business Intelligence Data Warehouse Dashboards Reporting 52

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 80

Business Intelligence Cost-Benefit Dashboards Visualization 80

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

TDAN

SEPTEMBER 14, 2021

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

Data Lake 91

Data Lake Data Warehouse IT Data Strategy 91

CIO Business Intelligence

FEBRUARY 14, 2023

Kubernetes can align a real-time AI execution strategy for microservices, data, and machine learning models, as it adds dynamic scaling to all of these things. Kubernetes has its own complexities, and creating a unified approach across different teams and business units is even more difficult.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Cost reduction and best business practices. Overall data architecture and strategy.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

MARCH 26, 2024

Cao shared that Huawei’s data intelligence solution combines an all-serverless architecture with data lakehouse and data-AI convergence. Compared to traditional data architecture and warehouses, Huawei’s data warehouse services promise the ability to handle enormous amounts of data and support full real-time upgrades.

Strategy 59

Strategy Uncertainty Finance Digital Transformation 59

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. It’s a powerful strategy.” So too is keeping your options open.

Data Lake 121

Data Lake Machine Learning Data Warehouse Unstructured Data 121

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. It took only a few minutes for them to toss out a lot more than five.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting. This will be your OLTP data store for transactional data.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

DECEMBER 5, 2023

The counties that are in lighter shades represent limited survey responses and need to be included in the targeted data collection strategy. Finally, the dashboard’s user-friendly interface made survey data more accessible to a wider range of stakeholders. She helps customers architect data analytics solutions at scale on AWS.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

CIO Business Intelligence

JULY 18, 2022

The organization operates a federated network, with each of its 200 member food banks being an independent 501(c)(3) that develops its own strategies, hires its own leaders and teams, and implements its own IT systems. We didn’t have basic things like a data warehouse. Driving change with better data reporting.

Data Warehouse 131

Data Warehouse Dashboards Reporting Manufacturing 131

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 91

Management Data Warehouse Metrics Dashboards 91

CIO Business Intelligence

AUGUST 17, 2023

He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. The aim of the project is to use the vast wealth of data the business has more effectively. Making sure that business is aligned with your IT strategy is key.” It was that simple.”

Data Warehouse 85

Data Warehouse Cost-Benefit Digital Transformation Strategy 85

CIO Business Intelligence

AUGUST 14, 2023

We initially turned to Google for analytics and to Oracle for database and data warehouse solutions, which exposed us to cloud offerings from both vendors at the same time. We began by identifying our strategy as cloud-first but soon shifted to cloud smart. We didn’t strategize about multi-cloud in the beginning. Multi Cloud

Sales 97

Sales Data Warehouse Strategy Technology 97

BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Management 114

Management Data Architecture Data Lake Data Strategy 114

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 125

Enterprise Cost-Benefit Digital Transformation Strategy 125

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This approach would center on a “self-service” model, empowering users to source and share key data. The Macmillan team realized the need to grow its data culture alongside its revamped BI strategy.

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

CIO Business Intelligence

SEPTEMBER 8, 2022

AI should be used to support your business strategy not be your business strategy. Instead evaluate your business opportunities or problems and then determine if AI is the right tool for the job. Be clear on the “why”. Do not just implement AI so you can check it off your list.

Machine Learning 104

Machine Learning Cost-Benefit Data-driven Digital Transformation 104

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. Top 9 business intelligence certifications.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145