Jet Global

JANUARY 6, 2021

Many software vendors have been shifting to a cloud-first approach to developing, deploying, and selling their software. For the past several years, Microsoft has been refining its portfolio of ERP and CRM business software to fit with a cloud-centered approach. ERP is no exception.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

Jet Global

JANUARY 18, 2021

Over the past few years, software vendors moved their applications to the cloud. 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. Review Third-Party Software. Start with a Functional Review.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

Jet Global

APRIL 20, 2020

Several decades ago, most finance professionals were thinking about their internal systems as “accounting software.” Over time, accounting software evolved to include inventory management, human resources, and even CRM. Software tools that support real-time analysis are undergoing a similar transformation today.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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. What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Jet Global

JANUARY 15, 2021

You might measure those costs in different ways, including actual dollars and cents, staff time, added complexity, and risk. There are numerous soft costs involving risk and potential business disruption. Reporting as a Key Cost-driver. In other words, switching costs are not just about money.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

CIO Business Intelligence

SEPTEMBER 21, 2023

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

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

Jet Global

JANUARY 2, 2020

Finance teams’ reporting needs are too specialised for modern BI tools, so finance needs something different. What’s So Special about Financial Reporting? We can take a look at multiple scenarios where BI software falls down, leaving finance teams pulling their hair out in frustration. Data Warehouses Don’t Solve the Problem.

Finance 52

Finance Management Data Warehouse Reporting 52

IBM Big Data Hub

NOVEMBER 15, 2023

These features—along with a broad range of traditional machine learning and AI functions —are now available to independent software vendors (ISVs) and managed service providers (MSPs) as part of IBM’s embeddable software portfolio, supported by the IBM Ecosystem Engineering Build Lab and partner ecosystem.

Sales 91

Sales Software Modeling Enterprise 91

Laminar Security

DECEMBER 13, 2023

Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape. Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

AWS Big Data

MAY 30, 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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 62

Data Warehouse Data Lake Cost-Benefit Structured Data 62

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. Risk to the business.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

erwin

APRIL 27, 2022

DBTA Readers’ Choice Awards has been held for several years running, with Quest Software historically taking first place. In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Read more about SharePlex® by Quest®.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Jet Global

DECEMBER 23, 2020

In other words, software publishers have sought to minimize the level of disruption for existing ERP customers while modernizing business applications, increasing integration, and adding important new functionality. That kind of clean break inevitably involves some disruption for both the software vendors and their customers.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

IBM Big Data Hub

NOVEMBER 8, 2023

It is with immense gratitude that I thank Ken for his leadership not only across IBM Power, but for his service to IBM in various roles spanning IP, strategy and software during his distinguished IBM career. Oracle will be releasing Oracle Database 23c on Power , as part of their next Long Term Release as reported in April 2023.

Strategy 96

Strategy Cost-Benefit Data-driven Digital Transformation 96

AWS Big Data

MAY 28, 2024

With this capability, you can use SQL (Structured Query Language) to connect to and directly ingest the data stream from Kinesis Data Streams to analyze and run complex analytical queries. After the data is in Amazon Redshift, you can create a business report using QuickSight.

IoT 63

IoT Analytics Dashboards Data-driven 63

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. In addition, proper business glossary software provides a pathway to build lineage and for metadata management for analysis of the data contained within it.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

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

IBM Big Data Hub

JULY 31, 2023

Couldn’t execs have run better analyses to spot risks within the data? Moving the data somewhere else—such as a cloud data warehouse —can come with even greater transport delays, resulting in stale data and poor quality decisions. Why did they fail to launch a new mobile app?

Digital Transformation 52

Digital Transformation Uncertainty Risk Data Warehouse 52

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

Ontotext

MARCH 8, 2023

Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. A risk issue in one financial institution could result in a domino effect for many. Which financial institutions have filed similar risk compliance issues?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. There are some very important reasons why you might want to bring some of your historical data into your new system, though. For example, it would be useful to retain the capability of reporting historical sales trends.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

Birst BI

NOVEMBER 20, 2018

After a few iterations, this results in a well-defined business question with identifiable supporting data. A foundational data analysis tool is Statistics , and everyone intuitively applies it daily. Exceptional data may point to data entry or software integration errors, but also may point to threats or opportunities.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. Feel free to connect with him on LinkedIn.

Analytics 60

Analytics Data-driven Management Reporting 60

Sisense

OCTOBER 6, 2020

It’s analyzed through numerical comparisons and statistical inferences and is reported through statistical analyses. As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Qualitative data benefits: Unlocking understanding.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

JULY 29, 2020

User interfaces for ERP reporting tools are most often built with IT staff in mind, not the end user. For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Software and operating system updates. What Comes Next?

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Jet Global

DECEMBER 2, 2019

If you’re stumbling across this post through the sea of results researching “business intelligence vs. reporting,” then maybe you’re already familiar with the unlimited interpretations and definitions of these two practices. The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Alation

JUNE 20, 2023

By then I had converted that small Heights data dictionary to the Snowflake sources. We did have an existing data warehouse solution, but it was so rarely used by outside teams, and I can’t even remember the name. Will: Our data engineers and our marketing teams, as well as our software engineers.

Technology 52

Technology Data Governance Data Warehouse Software 52

Jet Global

JANUARY 5, 2021

The investments you make in reporting and business intelligence tools today can provide added value to your current AX system and pave the way for a smoother, less expensive migration process down the road. Reporting Limitations of Dynamics AX. The existing Management Reporter in AX is a legacy tool that comes with limitations.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

JUNE 24, 2019

In addition to not having to personally deal with provisioning, configuring, and managing your data and infrastructure during the migration, automating also speeds up the whole process, reducing your company’s risk during migration.

Management 75

Management Software Risk IT 75