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

datapine

JANUARY 24, 2021

The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality. Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. As Data Dan reminded us, “did the best” is too vague to be useful.

IT 317

IT Statistics KPI Data-driven 317

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The first diagram illustrates the architecture before using data sharing. Getting started with AWS SCT is a straightforward process.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

Octopai

FEBRUARY 20, 2022

Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. Use this map as a Snowflake migration tool to plan your migration and design effective data pipelines for the Snowflake system. Do data housekeeping. Dispose of.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

Cloudera

NOVEMBER 12, 2020

At these times, they run business growth reports, shareholder reports, and financial reports for their earnings calls, to name a few examples. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 102

Data Warehouse Reporting Risk Cost-Benefit 102

CIO Business Intelligence

JUNE 13, 2022

You have to think about the day-to-day life of a clinician,” the COO of German software development company XANTAS AG observed, “and how laboratory values (measurements determining a patient’s health) can be overlooked. The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA.

Data Warehouse 98

Data Warehouse Software Manufacturing Machine Learning 98

Sisense

APRIL 17, 2020

Understanding the details is key, otherwise “digital transformation” will be merely a corporate buzzword that causes headaches, heartbreaks, and lost money instead of producing measurable improvements. Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

datapine

MAY 21, 2019

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. The ROI alone from hours saved and reduced costs of producing current reports will improve your bottom line. 3) Analyzing data from different data sources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Popularity is not just chosen to measure quality, but also to measure business value.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

CIO Business Intelligence

APRIL 14, 2022

DaaS vendors can also improve the quality of data that an organization might otherwise gather itself by correcting errors or filling in gaps and even provide big blocks of data should you need more. In this way, DaaS providers can improve your homegrown data warehouse by cross-fertilizing it with other, curated sources.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

IBM Big Data Hub

OCTOBER 16, 2023

Getting started with foundation models An AI development studio can train, validate, tune and deploy foundation models and build AI applications quickly, requiring only a fraction of the data previously needed. Such datasets are measured by how many “tokens” (words or word parts) they include. Increase trust in AI outcomes.

Risk 76

Risk Modeling Management Metadata 76

Jet Global

JANUARY 15, 2021

You might measure those costs in different ways, including actual dollars and cents, staff time, added complexity, and risk. Most of those things are not about direct monetary costs; they are less tangible and measurable, but nonetheless very important. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

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., Sales are measured down to a zip code territory level across product categories.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Occam's Razor

APRIL 4, 2011

What's the difference between web reporting and web analysis? So here I what I actually said: If you see a data puke then you know you are looking at the result of web reporting, even if it is called a dashboard. Someone asked me this very simple question today. " That applies to what is analysis.

Reporting 127

Reporting Metrics Dashboards Statistics 127

DataKitchen

JANUARY 3, 2022

For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Measure success. Create tests.

Testing 152

Testing Dashboards Measurement Experimentation 152

Cloudera

DECEMBER 10, 2020

Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Data warehouses have been broadly adopted to provide timely reports and valuable insights.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Cloudera

JANUARY 27, 2021

SOC 2 is a technical auditing and certification process that measures a service’s security and availability and assures customers that CDP Public Cloud is managed in a controlled and audited environment. If you would like a copy of our SOC 2 report, please contact your Cloudera account team.

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? In this scenario, you also have reports that need updating as well. Let’s say that the list of stores by sales just isn’t helping us understand our performance measures quite right. What do they mean?

Optimization 66

Optimization Sales Data Warehouse Measurement 66

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

datapine

MARCH 31, 2022

Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it. For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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 53

Publishing Analytics Business Intelligence Operational Reporting 53

Jedox

OCTOBER 22, 2020

Data analytics is not new. Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. Limited self-service reporting across the enterprise. Data accuracy concerns.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

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. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

CIO Business Intelligence

NOVEMBER 22, 2022

As a result, a growing number of IT leaders are looking for data strategies that will allow them to manage the massive amounts of disparate data located in silos without introducing new risk and compliance challenges. Understanding how to harvest and apply data can be a game-changer in many ways, Bishop states.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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. Deciding on KPIs to gauge a data architecture’s effectiveness.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 88

Data Warehouse Measurement Reporting Testing 88

Jet Global

JANUARY 18, 2021

Perhaps more importantly, it provides an opportunity for the organization to implement measures in advance that can reduce risk, lower costs, and improve the end result. Rather, they must consider how these changes might impact their workflows, user training, reports, customizations, and third-party products.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

Jet Global

DECEMBER 23, 2020

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. In other cases, costs are more obvious and clearly measurable. Allocate Adequate Time and Budget For Reports.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

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. So how is the data extracted?

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

DECEMBER 23, 2019

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Jet Global

JANUARY 15, 2020

It’s data analysis instead of just collection and reporting. It’s insight that creates and enables value, not just reporting on business performance. Financial intelligence starts by recognizing something fundamental about financial data. Reporting structures don’t roll up into nice neat hierarchies, and they change.

IT 59

IT Finance Reporting Data-driven 59

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

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

JANUARY 22, 2020

What measures are essential to keep your sensitive data confidential? When a cloud service vendor supplies your business and stores your corporate data, you place your business in the partner’s hands. In case you entrust your data to the cloud provider, you should be confident about the reliability of the cloud server.

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57

CIO Business Intelligence

APRIL 26, 2022

Out of 15 metrics Nallani used to measure the company’s overall infrastructure, 13 or 14 came out as “red,” meaning very deficient, and the only bright light — the company’s ecommerce system — was being phased out by Oracle. The company is awesome and has such phenomenal loyalty from its customer base. But tech was in the total doldrums.”.

Data Lake 98

Data Lake Dashboards Recreation/Entertainment Sales 98

CIO Business Intelligence

SEPTEMBER 21, 2023

In a recent report, he estimated that gen AI software revenues will grow from $3.7 He’s currently tracking 262 gen AI vendors, of which 117 specialize in text generation, and plans to produce a new version of the report in the next six months. One thing buyers have to be careful about is the security measures vendors put in place.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130