IBM Big Data Hub

OCTOBER 30, 2023

Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages. AI algorithms sift through large datasets to identify fraud risks and streamline claims processing, improving both efficiency and customer satisfaction.

Insurance 87

Insurance Data Warehouse Data-driven Unstructured Data 87

IBM Big Data Hub

NOVEMBER 15, 2023

Exceptional customer care through AI solutions Today, customers expect seamless experiences and fast answers to their questions, and companies that fail to meet these expectations risk falling behind. Watch the demo of these use cases , or explore interactive demos in the IBM Digital Self-Serve Co-Create Experience.

Sales 95

Sales Software Modeling Enterprise 95

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). And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

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. Because they are separate from the core ERP application, there is no risk that they will corrupt that core functionality. Start with a Functional Review.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

Timo Elliott

OCTOBER 3, 2019

And because if companies or IT departments don’t implement them, they risk losing their roles to someone who will! Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. People, collaboration, and ease of use.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Spreadsheets enabled finance professionals to access data faster and to crunch the numbers with much greater ease. Request a free demo and take the first step to leveling-up your organization.

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. A non-developer can build a custom data warehouse with Jet Analytics in as little as 30 minutes.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

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

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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., Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Click here to request a demo of erwin DI. Where did it come from? Where is it now? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Jet Global

DECEMBER 23, 2020

On the way there, however, there is a great deal that business leaders can do to rein in costs, reduce risks, and increase the value that ultimately comes out of ERP system upgrades. At the same time, you may not want to lose the ability to report against historical data. Contact us today for a free demo.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

IBM Big Data Hub

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

Consulting 91

Consulting Cost-Benefit Technology ROI 91

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Click here to request a demo of erwin DI. Where did it come from? Where is it now? by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

JANUARY 15, 2020

For example, digging into a variance issue on a BI dashboard is impossible, because it requires drilling from summary data right into the transactional detail, to examine journal entries or subledger transactions. Without that access, finance is working with static, stale data that is often exported to a spreadsheet for manual manipulation.

IT 59

IT Finance Reporting Data-driven 59

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. The Verify your Login to Demo App page opens.

Analytics 57

Analytics Data-driven Management Reporting 57

FineReport

MAY 31, 2023

There are also some other key challenges that will often be encountered during the process of creating financial dashboards: Data Integration : One of the primary challenges is integrating data from various sources. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 66

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. Who’s using Alation Data Catalog now? Katie: The BI reporting team loves the data dictionary.

Technology 52

Technology Data Governance Data Warehouse Software 52

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

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. INTERFACE OF BI SYSTEM.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

IBM Big Data Hub

DECEMBER 7, 2023

Today, OLAP database systems have become comprehensive and integrated data analytics platforms, addressing the diverse needs of modern businesses. They are seamlessly integrated with cloud-based data warehouses, facilitating the collection, storage and analysis of data from various sources.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

Jet Global

DECEMBER 2, 2019

The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job. Not only will this cost you mountains of wasted time, but you’re also in extreme danger of having the wrong data in front of you or giving it to someone else. A good example of this could be Cost of Goods Sold (COGs).

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 106

Cost-Benefit OLAP Dashboards Visualization 106

Jet Global

JANUARY 5, 2021

Many AX customers have invested heavily in data warehouse solutions or in robust Power BI implementations that produce considerably more powerful reports and dashboards. Business leaders should be clear about the risks before going ahead with a full-stack Power BI implementation. Now More Than Ever, Reporting Is Critical.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

Jet Global

JULY 29, 2020

There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Data warehouse (and day-old data) – To use OBIEE, you may need to create a data warehouse.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

Alation

APRIL 6, 2023

Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors. A “Value at Risk” (VaR) model operated on a series of spreadsheets, which were built manually, via copy and paste. Leaders seek to use strategic data with confidence more often.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

IBM Big Data Hub

MARCH 14, 2024

For existing IBM on-premises database customers, transitioning to AWS is seamless, offering risk-free, like-for-like upgrades.  With Db2 Warehouse’s fully managed cloud deployment on AWS, enjoy no overhead, indexing, or tuning and automated maintenance.

Cost-Benefit 85

Cost-Benefit Metadata Optimization Management 85

Jet Global

MARCH 6, 2020

In larger manufacturing operations, data like this is often collected and integrated into a data warehouse under IT’s control. In this scenario, IT is often responsible for creating and managing reporting for finance , but has difficulty keeping the data refreshed in a timely way for finance’s needs.

Manufacturing 75

Manufacturing Data-driven Finance KPI 75

Cloudera

NOVEMBER 28, 2017

As the first data warehouse cloud service that brings the warehouse to the data, it delivers instant self-service BI and SQL analytics to anyone – easily, reliably, and securely. You can also pay us a visit at AWS re:Invent ( Booth #428 ) and Strata Singapore to speak with our experts and see a live demo.

Analytics 40

Analytics Data Warehouse Reporting Risk 40

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry. Request a demo.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JULY 2, 2019

Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” One clear lesson of the early 21st century: strategies at scale that rely on centralization are generally risks (John Robb explores that in detail in Brave New War which I’ve just been reading – good stuff).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing. The DataRobot and Snowflake platforms include extensive built-in trust features to enable explainability and end-to-end bias and fairness testing and monitoring over time.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145