CIO Business Intelligence

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 128

Data Warehouse Data Lake Analytics Machine Learning 128

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ad hoc exploration and scheduled reports.

Data Warehouse 102

Data Warehouse Optimization Dashboards Interactive 102

Cloudera

OCTOBER 4, 2023

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide. Kudu has this covered.

Data Warehouse 95

Data Warehouse Experimentation Cost-Benefit Dashboards 95

Jet Global

JULY 11, 2019

In order to understand demand and accurately predict supply, most companies adopt a business intelligence solution to assist with data preparation, data consolidation, analysis, and reporting. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Data Consolidation.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Occam's Razor

MARCH 10, 2015

Universal Analytics is an extensible platform that allows you to literally send any data in, take any data out, and get a complete view of your business – inside Google Analytics or outside Google Analytics, your choice. There is no Universal Analytics folder in GA. Notice I said partial. :).

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Jet Global

FEBRUARY 5, 2019

After working with many Microsoft Dynamics ERP clients who have faced data quality struggles, we’ve put together a list of 5 top warning signs that there’s something wrong with the data you are using every day. . You are having difficulty securing executive buy-in because report and budget a pprovals are constantly delayed .

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Jet Global

JANUARY 17, 2019

While there’s no doubt about the value of implementing a BI solution, many Dynamics ERP customers face the same data challenges with the quality and credibility of their data before a project even begins. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Occam's Razor

DECEMBER 3, 2008

Michael, politely, says in an email: "I have done web analytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. 3) I am simply assuming you are good at tools and some technical stuff and some business stuff.

Analytics 115

Analytics Consulting Metrics Reporting 115

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. Of course, these threats can easily be overcome, but it’s a sure bet that they will try to creep their way into your business plans. Risk to the business. The mechanical solution is to build a data warehouse.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

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

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 719, trailing "data warehouse."

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Once the output of Data Science began to be used to support business decisions, a need arose to consider how it could be audited and both data privacy and information security considerations also came to the fore. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

Cloudera

MAY 12, 2021

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR GOOD. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 72

Digital Transformation Machine Learning Optimization Data Lake 72

Jet Global

OCTOBER 1, 2019

In order to understand demand and accurately predict supply, most companies adopt a business intelligence solution to assist with data preparation, data consolidation, analysis, and reporting. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Data Consolidation.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Sisense

MAY 28, 2020

Product teams are already having to manage the growing complexities that come with modern data environments. Chandana Gopal, Business Analytics Research Director, IDC. Teams should look to deliver measurable value with short term projects to build business cases for more expensive or longer projects.”

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

IBM Big Data Hub

AUGUST 28, 2023

For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. And in the last few years, the team realized there was an opportunity to expand beyond centralized operational reporting to enable further business growth.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Smarten

DECEMBER 7, 2017

Self-Serve Data Preparation is the next generation of business analytics and business intelligence. Self-serve data preparation makes advanced data discovery accessible to team members and business users no matter their skills or technical knowledge. What is Self-Serve Data Preparation?

IT 40

IT Testing Data Warehouse ROI 40

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 105

Data Warehouse Snapshot Testing Management 105

datapine

AUGUST 29, 2022

The author also introduces the concept of “analytics 3.0” to describe how companies can combine traditional analytics with a big data approach. He recognizes big online companies like Google or Facebook as the originators of the top big data tools and technologies, as well as data-driven management reporting and best practices.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

OCTOBER 27, 2022

Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address. Helping clients close the business analytics skills gap. The company’s up-to-date expertise with IBM Cognos Analytics and their close relationship with IBM are key factors.

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

datapine

FEBRUARY 22, 2022

Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer? Decide which are necessary to your business intelligence strategy. This should also include creating a plan for data storage services. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. They must also select the data processing frameworks such as Spark, Beam or SQL-based processing and choose tools for ML.

Management 111

Management Data Governance Data Science Reporting 111

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Where the CDO reports.

Analytics 68

Analytics Metadata Data Governance Management 68

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. The platform comprises three powerful components: the watsonx.ai

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Jet Global

NOVEMBER 16, 2022

While reports are important, many board members aren’t taking the contents of board reports to mind. Having easy-to-read and straightforward board reports is something many companies can work on to forward their vision. How can you help your company get ahead with comprehensive board reporting that hits home?

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. 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

NOVEMBER 14, 2022

It could also include a marketing dashboard that summarizes response rates for recent campaigns, or even a traditional financial report such as a year-to-date profit and loss (P&L) with year-over-year variances. Creating reports from the ground up can be a lengthy, labor-intensive process that’s usually outsourced to the IT department.

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

JUNE 3, 2024

How do you navigate the complexity of your project-based financial reporting? Don’t underestimate the power of project reporting. It’s more than just a report–it’s a strategic weapon in your arsenal. This static approach creates a lag between data collection and report generation.

Reporting 52

Reporting Finance Operational Reporting Software 52

Jet Global

SEPTEMBER 27, 2023

Every organization has roadblocks like budgetary restraints, data limitations, and clunky, manual processes. Using the reporting tools ERPs provide can help streamline workflows and reduce timelines, but they’re often too rigid to offer the tailored reporting capabilities organizations need to answer specific business questions.

Dashboards 52

Dashboards Reporting Operational Reporting Finance 52

Jet Global

NOVEMBER 15, 2022

In most companies, financial reporting consumes an inordinate amount of time and energy. By applying the right technology in the right ways, you can eliminate much of the tedious effort that goes into producing routine reports. One reason for this is the increasing complexity that many businesses experience as they grow.

Reporting 52

Reporting Finance Data Warehouse Sales 52