Jet Global

JUNE 5, 2019

The path to doing so begins with the quality and volume of data they are able to collect. But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Let’s introduce the concept of data mining. Toiling Away in the Data Mines.

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

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Cloud based solutions are the future of the data warehousing market.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

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

CIO Business Intelligence

OCTOBER 17, 2023

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. Bill Capture, too, has been made generally available.

IT 131

IT Finance Sales Enterprise 131

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. In this post, we take the example of sales data from the TPC-DS benchmark.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

CIO Business Intelligence

MARCH 6, 2024

While the product team was busy doing that, my team worked with the operations functions and our strategy team to completely reimagine our front- and back-office processes and supporting applications to enable this new cloud company. This isn’t just an IT or sales transformation; it’s a complete company transformation.

Modeling 116

Modeling Management IT Metrics 116

CIO Business Intelligence

AUGUST 14, 2023

Instead of putting salespeople on the ground, we pioneered a business model built around mail-order catalog sales. Before long, we expanded into online sales and, today, Digi-Key offers the world’s largest selection of electronic components that are both in-stock and available for immediate shipment. It just happened.

Sales 98

Sales Data Warehouse Strategy Technology 98

datapine

JANUARY 24, 2021

Based on your company’s strategy, goals, budget, and target customers you should prepare a set of questions that will smoothly walk you through the online data analysis and help you arrive at relevant insights. For example, you need to develop a sales strategy and increase revenue. Data Dan: (Rolls eyes). Ok, that’s it.

IT 317

IT Statistics KPI Data-driven 317

bridgei2i

JANUARY 19, 2021

Business Intelligence (BI) has always been a valuable aid for decision making. Essentially, data can converse with a busy executive on the go. Interested in exploring what conversational AI can do for your business? WEBCAST: Analytics Through the Lens of Conversational AI. About the Webcast.

Analytics 98

Analytics B2B Dashboards Sales 98

datapine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. Data integration. Data storage.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

CIO Business Intelligence

JUNE 21, 2023

It’s that combined with our investments and sales tools that are driving a lot of growth.” The base engine for the e-commerce and data warehouse is all custom code. Your sales teams may view it as a threat, but in reality, it’s not a threat,” he says.

IT 94

IT B2B Digital Transformation Sales 94

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This encompasses their finance, sales, supply chain, inventory management and production areas. This data is leveraged by departments throughout the organization and is essential to their business operations.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Jet Global

APRIL 2, 2019

And while AI algorithms are certainly poised to make an impact in each of these areas, enterprise businesses need to first invest in building the infrastructure to support them. The road to AI supremacy in enterprise business starts with investment in an area most businesses might not think to look at first.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

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 95

Management Data Warehouse Metrics Dashboards 95

CIO Business Intelligence

MARCH 28, 2022

After launching the Healthcare and Life Sciences Data Cloud Platform just a week ago, Snowflake has announced a Retail Data Cloud aimed at helping retail and consumer goods companies make the most of their data.

Consulting 125

Consulting Data Warehouse Machine Learning Dashboards 125

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

CIO Business Intelligence

MARCH 2, 2023

The data warehousing team was the first to take its platform to the cloud and is already leveraging AWS’ suite of services and cloud-first applications, like Snowflake, for self-service analytics. And over the past 10 months, sales growth across all online platforms (scheduled, on-demand, and click-n-collect) came in at a robust 69.6%

Cost-Benefit 98

Cost-Benefit Consulting Data Warehouse Management 98

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. Your Chance: Want to take your data analysis to the next level? Benefits Of Business Intelligence Software. 17 Top Features Of Business Intelligence Tools.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

AUGUST 14, 2019

With the potential use cases on the horizon for AI in business, as well as the investment dollars and rate of change currently propelling AI, one thing is clear: you’ll need to get your foundation in place sooner, rather than later, to take advantage of the benefits coming to the business world. Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. BI INTELLIGENCE (from google). Data Warehouse.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

CIO Business Intelligence

SEPTEMBER 6, 2022

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 98

IT Forecasting Data Lake Enterprise 98

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. to create forecast tables and visualize the data. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Birst BI

NOVEMBER 20, 2018

They then explore the data that is available for the project, and this usually generates follow-up questions to be discussed with business users. After a few iterations, this results in a well-defined business question with identifiable supporting data. The next step is to prepare the data through feature engineering.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

CIO Business Intelligence

MARCH 9, 2022

Some examples include: Customer 360 analytics, retail inventory and sales analysis, manufacturing operational analysis, eCommerce fraud prevention, network security intelligence, data warehouse consolidation and discount pricing optimization.

Data-driven 110

Data-driven Analytics Machine Learning Optimization 110

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. Standard terms in sales might have a different understanding in accounting, and crossed wires can lead to problems.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

Cloudera

MARCH 2, 2022

We used the TPC-DS sales and items table for this benchmark. sales had columns s_item_id (int), s_quantity(int) ,s_date(date) , whereas items had columns i_item_id (int) and i_price (double). sales had 1 billion rows and items had 30 million rows. . Billion-Row benchmark. Build Benchmark. With Changes. Without Changes.

Data Warehouse 90

Data Warehouse Optimization Analytics Sales 90

Jet Global

OCTOBER 7, 2020

In this way, D365 F&SCM users end up with data entities specific to reporting needs such as customer listings, sales (invoice) reports, or open orders reports. The Data Entity Store. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52