CIO Business Intelligence

MARCH 22, 2024

It’s following in the footsteps of IBM and Microsoft, which like the German telco have an edge over regular companies contemplating a similar move to Rise in that they have their own clouds in which to host the applications and their own IT services divisions to make the move. Some of them are still running on ECC 6.0,

Data Processing 104

Data Processing Data Warehouse Management Software 104

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 132

Technology Data Warehouse Big Data Machine Learning 132

Paul Blogs on BI

SEPTEMBER 8, 2021

While we have definitely seen an acceleration in organizations using or moving operational applications to the cloud, Business Intelligence has lagged behind. It therefore makes sense when they move their data warehouses and BusinessObjects to move them to their existing private cloud.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

Howard Dresner

JANUARY 8, 2013

Dear Friends, Since last year I began supporting a new Business Intelligence blog on the Sandhill.com website , called "Dresner's Point". Each week I am joined by Business Intelligence and information management experts (e.g., Each week I am joined by Business Intelligence and information management experts (e.g.,

Business Intelligence 45

Business Intelligence Data Warehouse Data Processing Big Data 45

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. He hosts a weekly tweet chat (#BIWisdom) on Twitter each Friday.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This data is leveraged by departments throughout the organization and is essential to their business operations. As business processes grew more complex, the data transparency and visibility suffered.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Typically, you have multiple accounts to manage and run resources for your data pipeline.

Metrics 105

Metrics Visualization Dashboards Interactive 105

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

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

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 75

Dashboards Data Warehouse Visualization Data Processing 75

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

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 130

IT Finance Sales Enterprise 130

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 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

JANUARY 16, 2023

All the logic is still in Java hosted on Amazon’s infrastructure.” Aside from the core cloud services, Choice also uses Amazon RedShift as a front end to its cloud data warehouse, Amazon SageMaker to build machine leaning models, and Amazon Kinesis to collect, process, and analyze real-time data.

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

Sisense

OCTOBER 10, 2019

It can’t be overstated: the rise of cloud storage and computing changed everything for companies and data engineers alike, and it’s never going back. Engineers were always most concerned with connecting data services to analytics and business intelligence software or whatever other systems needed to use that data.

Data Processing 60

Data Processing Data Warehouse Digital Transformation Software 60

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.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Jet Global

JULY 23, 2019

Who: insightsoftware, now including Jet Global reporting and analytics, is hosting the event for any and all business professionals who use Excel, Jet, Microsoft Dynamics, Epicor, Sage, or any other ERP system. According to Gartner, Microsoft’s Power BI is the number one application ecosystem in the business intelligence environment.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

Paul Blogs on BI

JANUARY 12, 2018

In the world of Business Intelligence, predictions by leading experts and vendors have also not always been stellar. The transition of the BO application to being Cloud hosted is not difficult but there are many considerations, especially around security, that need to be taken into account.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

Cloudera

MAY 2, 2018

A Cloudera contingent, including Business Development, Marketing, Sales, and Software Engineering just got back from Qlik Qonnections in Orlando, Florida where the vibe to #DisruptEverything was strong!

Analytics 44

Analytics Business Intelligence Data Science Data Processing 44

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Better Data Culture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

CIO Business Intelligence

FEBRUARY 20, 2024

It unifies all data on a single platform, including data integration, engineering, and warehousing, where it can be used for data science, real-time analytics, and business intelligence – and accessed with natural language queries and the power of generative AI.

Cost-Benefit 113

Cost-Benefit Data Lake Data Warehouse Data Integration 113

IBM Big Data Hub

APRIL 8, 2024

Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS Are there any constraints on the number of databases that can be hosted on an instance?  Amazon RDS for Db2 supports single-node transactional, mixed and analytics workloads. 

Snapshot 76

Snapshot Data Warehouse Data Processing Management 76

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

AWS Big Data

JULY 25, 2023

The integration of Talend Cloud and Talend Stitch with Amazon Redshift Serverless can help you achieve successful business outcomes without data warehouse infrastructure management. Prerequisites To complete the integration, you need a Redshift Serverless data warehouse. For Port , enter 5349.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

datapine

JULY 1, 2020

quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. In this day and age, a failure to leverage digital data to your advantage could prove disastrous to your business – it’s akin to walking down a busy street wearing a blindfold.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

CIO Business Intelligence

MARCH 16, 2022

This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively. It is important to differentiate between a cloud hosting strategy or solution and building a true cloud solution — which is the future state we all desire.

Insurance 103

Insurance Cost-Benefit Data Processing Strategy 103

Domino Data Lab

APRIL 3, 2019

Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Most of the data management moved to back-end servers, e.g., databases. Upcoming Events.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

JANUARY 21, 2021

If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. Host-based security.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 51

Data Warehouse Testing Sales Dashboards 51

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 104

Management Advertising Data Lake Sales 104