datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

datapine

AUGUST 14, 2019

Exclusive Bonus Content: Download Our Free Data & Science Checklist! Geet our bite-sized free summary and start building your data skills! Therefore, there are numerous data science tools and techniques that provide scientists with an easier, more digestible workflow and powerful results. Our Top Data Science Tools.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

FEBRUARY 5, 2019

It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. . Top 5 Warning Signs of Bad Data.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

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

Jet Global

JULY 11, 2019

BI software gives you a single view into performance, with pre-built dashboards and reports for quick sharing and dissemination of real-time information on demand. Get a better understanding of what you need to do to improve your data quality and prepare your data?for Business Intelligence Trends in 2019.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Jet Global

MAY 1, 2020

The non-mechanical way to do it is to put a business sponsor on the team who believes in a transparent, fact-based approach to management. Data quality issues. Here’s the ugly truth: Everybody has a data quality problem. Learn how to prepare your data for BI. Just give me a dashboard.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

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. Control of Data to ensure it is Fit-for-Purpose. It would be designed to also feed data to other areas, notably Finance systems.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

FineReport

APRIL 9, 2024

One of the key aspects of the role of BI platforms is their ability to streamline the process of data analysis and decision-making. They offer functionalities that allow for the integration and transformation of raw data into meaningful and actionable insights.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Metrics 49

Metrics Statistics Data Quality Measurement 49

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. Beyond the technical aspects, the goals are far loftier.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities.

Statistics 52

Statistics Data mining Visualization Reporting 52

Jet Global

OCTOBER 1, 2019

BI software gives you a single view into performance, with pre-built dashboards and reports for quick sharing and dissemination of real-time information on demand. Get a better understanding of what you need to do to improve your data quality and prepare your data?for Business Intelligence Trends in 2019.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Peter James Thomas

JUNE 3, 2019

Analytics Expert – Similar to the Data Scientists, centralised “hub” staff might work more on standards (e.g. for Data Visualisation), developing frameworks to be leveraged by others (e.g.

Data Governance 45

Data Governance Cost-Benefit Insurance Data Quality 45

Smarten

SEPTEMBER 15, 2017

Take the time to develop detailed requirements that consider business user skills, use cases for day-to-day analytics needs and for strategic use, the need for mobile access, scalability, data source integration and other needs. Will you need the flexibility to customize or personalize dashboards?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Peter James Thomas

AUGUST 2, 2019

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. It includes 30 new definitions, some of which have been contributed by people like Tenny Thomas Soman, George Firican, Scott Taylor and and Taru Väre. Thanks to all of these for their help.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

CIO Business Intelligence

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel. Ultimately, they trust gut feel over Power BI dashboards.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45

datapine

MAY 17, 2021

For this reason, a quality data discovery tool should include powerful and interactive data visualizations that will make the process of working and analyzing the information smooth and easy to understand. Collaboration is a fundamental point for successful data management. Benefit from modern data discovery today!

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Grooper

AUGUST 19, 2019

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Applied analytics Business analytics Machine learning and data science. Applied Analytics. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Your Chance: Want to put your big data knowledge to use?

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MARCH 13, 2024

Its easy-to-configure, pre-built templates get you up and running fast without having to understand complex Dynamics data structures. Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

JANUARY 13, 2023

Discover how SAP data quality can hurt your OTIF. If you deliver the right products on time, offering a regular price and good quality, you will have happy customers,” Richard den Ouden, co-founder of Angles of SAP. Live demo tailored to your business requirements. Interested in Business Analytics and Dashboards.

Measurement 52

Measurement Reporting Operational Reporting Forecasting 52

Jet Global

OCTOBER 4, 2023

Addressing these challenges often requires investing in data integration solutions or third-party data integration tools.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Manual processes and juggling multiple tools won’t cut it under the ever-changing CSRD regulations. Inconsistent formats and standards across different tools further hinder comparison and aggregation.

Reporting 52

Reporting Data-driven Metrics Software 52

Andrew White

MARCH 22, 2019

Too many vendors have convinced their clients they have information stewards when fact they have more data quality analysts. This does not make any sense given that data is not a cost of doing business; it is part of what describes the business – and for some organizations it IS the business.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

NOVEMBER 12, 2024

The majority, 62%, operate in a hybrid setting, which balances on-premises systems with cloud applications, making data integration even more convoluted.  Additionally, the need to synchronize data between legacy systems and the cloud ERP often results in increased manual processes and greater chances for errors.

Finance 52

Finance Reporting Cost-Benefit Data-driven 52