Jet Global

DECEMBER 12, 2019

Financial reporting is much more specialised. Financial Reporting: Not a Fit for BI. Financial reporting needs cannot be solved by a BI implementation, mainly because transactional drill-down and real-time data demands are not supported in any reports produced by BI tools. Data Warehouse? Sounds good?

Reporting 52

Reporting Finance Data Warehouse Recreation/Entertainment 52

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. 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

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

datapine

MAY 9, 2019

Such jargon leads to business intelligence buzzwords that can dilute the meaning of important information. In his book, Waitzkin states that the best chess players are those that can take in the most information in a short span of time. However, it can only process so much information at any one time and requires a lot of energy.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

erwin

SEPTEMBER 3, 2020

Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. Data governance provides time-sensitive, current-state architecture information with a high level of quality.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. As a data scientist building an ML model, you may have access to the identifying information but not the transaction information, and having access to a feature store solves this.

Modeling 64

Modeling Data Warehouse Machine Learning Testing 64

datapine

SEPTEMBER 29, 2022

However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Oftentimes, the data being collected and used is incomplete or damaged, leading to many other issues that can considerably harm the company. Enters data quality management.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

NOVEMBER 23, 2022

Goals of enterprise architecture EA is guided by the organization’s business requirements — it helps lay out how information, business, and technology flow together. A good EA strategy considers the latest innovations in business processes, organizational structure, agility, information systems, and technologies.

Enterprise 124

Enterprise Cost-Benefit Digital Transformation Strategy 124

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc.,

IT 317

IT Statistics KPI Data-driven 317

Jet Global

APRIL 20, 2020

A new paradigm in reporting and analysis is emerging. There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report).

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

erwin

FEBRUARY 13, 2020

Therefore, most enterprises have encountered difficulty trying to master data governance and metadata management, but they need a solid data infrastructure on which to build their applications and initiatives. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Cloudera

JANUARY 28, 2022

At Cloudera, we firmly advocate that before you start assessing data infrastructure deployments, you must understand the purpose of the data. Are you seeking to improve the speed of regulatory reporting, enhance credit decisioning, personalize the customer journey, reduce false positives, reduce data warehouse costs?

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

IBM Big Data Hub

NOVEMBER 15, 2023

Watsonx provides the functionality enterprise developers need most, including summarization of domain-specific text; classification of inputs based on sentiment analysis, threat levels or customer segmentation; text content generation; analysis and extraction (or redaction) of essential information; and question-answering functions.

Sales 94

Sales Software Modeling Enterprise 94

datapine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

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

JANUARY 6, 2021

Getting to the cloud, though, will require one more big project, with all of the cost, complexity, and risk that go along with such endeavors. How can businesses manage the process to achieve positive results while maintaining budget and risks within acceptable parameters? Here are some best practices: Start the Process Early.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. A key data observability attribute is that it acts on metadata, providing a safe way to monitor data directly within applications.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

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

AWS Big Data

JUNE 28, 2023

When data is used to improve customer experiences and drive innovation, it can lead to business growth. times more likely than beginners to report at least 20% revenue growth. However, to realize this growth, managing and preparing the data for analysis has to get easier.

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

SEPTEMBER 21, 2023

The phrase “existential risk” is now everywhere—not in the sense the AI would destroy humanity, but that it would make business functions, or even entire companies, obsolete. If you take something slightly risky and make it a thousand times bigger, the risks are amplified,” he says. But it’s a sign of what’s to come. “If

Enterprise 129

Enterprise Consulting Modeling Cost-Benefit 129

Laminar Security

APRIL 18, 2023

“Clearly organizations are needing a more scalable, sustainable approach to discovering and governing cloud data.” To achieve comprehensive large enterprise cloud data management, a DSPM must include summarized global data risk reporting as well as drilled-down views based on data sensitivity, security posture or other factors.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

erwin

APRIL 27, 2022

This award is especially significant because the winning information management solutions are chosen by the people who use them. In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Best DBA Solution (Quest Toad for Oracle).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

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., Each card or listing contains information about a book or publication (e.g.,

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

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. While this is a start, creating a business glossary that will yield useful information for everyone is MUCH more involved than this. View the eBook.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

Ontotext

MARCH 8, 2023

Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Jet Global

JANUARY 15, 2020

While financial intelligence is driven by having the right sets of processes and tools in place to empower the finance team to access the information it needs, financial intelligence is itself a higher-order thinking. It’s data analysis instead of just collection and reporting. It’s messy. It’s multi-dimensional.

IT 59

IT Finance Reporting Data-driven 59

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 59

Data-driven Enterprise Data Governance Data Lake 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. He found a rich collection of data assets, including information on over 2.2 million daily website visits, 4.8

IT 84

IT Forecasting Data Lake Enterprise 84

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

erwin

DECEMBER 12, 2019

It’s generated every time data is captured at a source, accessed by users, moved through an organization, integrated or augmented with other data from other sources, profiled, cleansed and analyzed. It answers these important questions: What data do we have? Is it sensitive or are there any risks associated with it?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

OCTOBER 6, 2022

Certain technologies require skills to maintain them that are harder to find, which is a further risk as those resources move towards retirement age. We maintain the same information in multiple places because it is used across the enterprise. We see this consistently in the data platform/data storage space. .

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

Sisense

JANUARY 13, 2020

From a practical perspective, the computerization and automation of manufacturing hugely increase the data that companies acquire. And cloud data warehouses or data lakes give companies the capability to store these vast quantities of data. Data improves and streamlines production quality control.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Smart Data Collective

JANUARY 22, 2020

The movement towards cloud technologies is perceived as an undoubtedly positive trend that facilitates all aspects of human interaction with information systems. What measures are essential to keep your sensitive data confidential? Risks Associated with Cloud Computing. Data Security. How will they affect the industry?

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57