Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

JANUARY 25, 2023

Kirk Ball, EVP and CIO at Giant Eagle Giant Eagle Another evolving priority is their ability to effectively manage data and create an analytics platform that provides insights into the stories the data is telling, and, in turn, reveal those stories to decision makers across different functions in the business. “We

Strategy 112

Strategy Interactive Digital Transformation Technology 112

Smart Data Collective

NOVEMBER 29, 2021

One of the biggest concerns is that they can lead to data loss. If you are worried about a disaster impacting your business, then you have to be ready to restore your data as quickly as possible. You can hardly find a computer user who has never faced the issue of data loss. Big data has made data recovery a lot easier.

Management 95

Management Software Big Data Risk 95

CIO Business Intelligence

APRIL 1, 2024

Those principles are data centric, platform first, cloud based, automation led, and zero trust (so that everything is secure from the start). I need one managing data and orchestrating the OEM platform base to drive business results.” But as a CIO, I don’t need an IT organization that’s writing apps.

Strategy 140

Strategy IT Digital Transformation ROI 140

IBM Big Data Hub

MAY 25, 2023

It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. At the same time, there are reasonable concerns about how to mitigate bias, manage data security, and factor in precision and risk.

Consulting 108

Consulting Experimentation Machine Learning Modeling 108

CDW Research Hub

APRIL 1, 2020

Sirius, which now holds the highest rank of VMware partners—Principal Partner—strives to maintain excellence within all VMware categories and to serve as an industry leader for its clients. This also allows Sirius to build managed services offerings around data center and cloud.

Sales 79

Sales Data-driven Management IT 79

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Depict Data Studio

MARCH 2, 2023

4 Levels of Excel Vizardry I’ve taught data visualization in Excel a dozen different ways over the years. Level 1: Exploratory Viz We can make sparklines, data bars, and heat tables within seconds. For example, a regular ol’ bar chart just compares the average or total of several categories. First, dip a toe in.

Visualization 59

Visualization Statistics Consulting Dashboards 59

CIO Business Intelligence

APRIL 25, 2023

Mark Cuban, entrepreneur, owner of the Dallas Mavericks, and one of the “sharks” on the venture capital meets game show program Shark Tank , believes “the world’s first trillionaires are going to come from somebody who masters AI.” Evans’ third category is, “Oh my god we have accidentally invented the atom bomb.”

Technology 110

Technology Consulting Strategy Data-driven 110

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Should you use a retrieval augmented generation (RAG) model by pairing your data with a public foundation model? times higher ROI.

Enterprise 107

Enterprise ROI Risk Strategy 107

Octopai

OCTOBER 6, 2022

We’re not sure if data assets experience stress when they have to migrate to a new residence, but certainly all of the humans involved in the data migration process do! Sometimes it’s simple: all the clothing from your master bedroom in your old house should go to the master bedroom in the new house.

Testing 52

Testing Visualization Data Transformation Strategy 52

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 108

Business Analytics Analytics Data Quality Big Data 108

FineReport

JUNE 15, 2020

These are very useful as they provide corporate leaders with accurate data and detailed management conditions, which helps them make smarter decisions and adjust strategies. These data could reflect and track the key performance indicators of the segmented departments and staff. Then, you should range them in a logical way.

Reporting 80

Reporting Management Key Performance Indicator Visualization 80

erwin

APRIL 27, 2022

This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Ontotext

MARCH 19, 2021

This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for. We’ve already talked about metadata as something that enriches data with more data points that make it meaningful. Metadata is Like Packaging.

Metadata 124

Metadata Enterprise Publishing Management 124

FineReport

MARCH 7, 2024

In the realm of big data utilization , we often romanticize its profound impact, envisioning scenarios like precision-targeted advertising, streamlined social security management, and the intelligent evolution of the pharmaceutical sector. Try FineReport Now 1. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Cloudera

JUNE 8, 2021

A sturdy data infrastructure coupled with a proficient workforce are pillars for an organization’s digital transformation efforts. . McKinsey lists building capabilities for the workforce of the future as one of five categories of factors improving the chances of a successful digital transformation. Wide applications of course content.

Digital Transformation 57

Digital Transformation Cost-Benefit Data Strategy Finance 57

FineReport

DECEMBER 25, 2019

It can help enterprises make better use of data if different data can be presented by appropriate reports. The detail report is the simplest way to display the data. It is mainly for listing the data such as sales list, customer list, expenditure list. This type of report classification displays and summarizes the data.

Reporting 98

Reporting Metrics ROI KPI 98

Smart Data Collective

APRIL 20, 2021

Big data is having a tremendous impact on the future of modern business. Harvard Business Review Analytic Services recently published The State of Digital Adoption report on big data adoption in business, and its findings may surprise or even alarm many organizations and institutions.

Big Data 93

Big Data Strategy Digital Transformation Metrics 93

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

AUGUST 7, 2020

Dynamic reports are generated based on the latest information and provide interactive features that allow end-users to do various types of data analysis with ease. When using multiple data sources, you can use parameters to select or input value to filter all the data you want. Dynamic Report Examples.

Reporting 75

Reporting IT Interactive KPI 75

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Sisense

JUNE 24, 2019

Migrating your data to the cloud is a huge undertaking, rife with challenges and obstacles. Cloud BI is becoming increasingly common, as more organizations put their data on the cloud. A quicker migration means less chance of an outage or lack of availability of the data you need to handle your mission-critical tasks.

Management 75

Management Software Risk IT 75

Jet Global

NOVEMBER 14, 2022

These best practices generally fall into three categories: documentation, process and substance. The first category, documentation, relates to the level of detail and analysis required in a transfer pricing study. In addition, MNEs should consider adopting a “master file” approach to their documentation. Download Now.

Cost-Benefit 52

Cost-Benefit Risk Marketing Sales 52

bridgei2i

OCTOBER 12, 2020

There are data pipelines for capturing signals across the board. So, would it be, if I understand you correctly, you’re talking about a system that tells a CXO about the reasons for business movements, say for a category head of a CPG company, it would provide alerts about sales trends of its brands in different geographies.

Management 85

Management Sales Risk Enterprise 85

Smart Data Collective

DECEMBER 23, 2019

The biggest issue is that the majority of companies don’t retain data on their contracts. You can use big data to keep track of your company’s ability to meet certain benchmarks and create a machine learning algorithm that can automate essential processes. Rich said that there are some challenges to utilizing AI for contracts.

Machine Learning 60

Machine Learning Management ROI Risk 60

Jet Global

APRIL 30, 2019

In this blog post, we are going to cover Data Entities. What is a Data Entity? A data entity is an extract of core data from your D365FO system. Data entities provide a conceptual abstraction of underlying table schemas which represent the common data concept or functionality, for example, Customers or Vendors.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Domino Data Lab

MARCH 3, 2021

In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. How do we track value enabled through better decision support such as a data science model or a diagnostic visualization versus an experienced manager making decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Discover Meaning Amid All That Data. Transactional records and customer master information are typically stored in an ERP system.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Rita Sallam

SEPTEMBER 11, 2020

The Bake-Offs are fast-paced, informative sessions that let you see vendors side-by-side using scripted demos and a common data set in a controlled setting. We try use the Bake-Offs as a platform for data for good. Rather than just using some solely fun data like football/ soccer statistics – go Mo Salah! ThoughtSpot.

Statistics 96

Statistics Machine Learning Sales Data Science 96

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data Entities. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

FineReport

APRIL 24, 2024

Learn Data Visualization Understanding the Importance of Visualizing Data Data visualization is a powerful tool for conveying complex information in a clear and impactful manner. Whether it’s through charts, graphs, maps, or other visual formats, mastering data visualization is crucial for anyone working with data.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

Occam's Razor

JANUARY 12, 2015

Even if you are in the super-jaded category, this will help you present something to your boss's boss that will get them to finally understand what you do! Notice I did not say standard reports, those barely cross the bar of data puking. All data in aggregate is crap. In this blogpost I want to share that with you.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

Jet Global

MARCH 25, 2020

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. Financial reporting on JD Edwards data covers a lot of ground.

Reporting 45

Reporting Finance Sales Visualization 45

Jet Global

DECEMBER 16, 2020

IT staff must have the deep expertise required to sort out data storage and access, data integrity, performance, and all of the other technical factors in the reporting and analytics domain. Do you really need all this detail, or would a summary of each category be better? Technology is complex. Which information are you using?

Finance 52

Finance Reporting IT Cost-Benefit 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52