Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. A risk issue in one financial institution could result in a domino effect for many.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. Kudu has this covered. appeared first on Cloudera Blog.

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. Analytics would allow users to gain immediate insights into circumstances.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 81

Data Warehouse Cost-Benefit Metadata Data-driven 81

Cloudera

JANUARY 28, 2022

Portable, interoperable data services for the lifecycle of data across clouds. A decision framework to automate and optimize workload execution. Open and extensible to support new clouds, data types and data services. What data do I need to achieve these objectives? Managing Cloud Concentration Risk.

Slice and Dice 110

Slice and Dice Cost-Benefit Risk Data Governance 110

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. This enables organizations to connect to any data source and combine any type of data. Mitigate risks with a seamless cloud migration.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. Nominations for the 2021 Cloudera Data Impact Awards are open from now until July 23.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

CDW Research Hub

JULY 2, 2021

GDP is a leading data security platform for databases and data warehouses. Guardium Insights for Cloud Pak for Security enables improved visibility into user data activity and risk while also giving your team more flexibility to scale and shift with your data sources. Better together.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 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. What was at first a data stream has morphed into a data river as enterprise businesses are harvesting reams of data from every conceivable input across every conceivable business function.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Cloudera

OCTOBER 6, 2022

Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. Certain technologies require skills to maintain them that are harder to find, which is a further risk as those resources move towards retirement age.

Digital Transformation 84

Digital Transformation Cost-Benefit Data Lake Machine Learning 84

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. Our Value Proposition How does TopQuadrant fit into this picture?

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

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

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! Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. People, collaboration, and ease of use.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Jet Global

JANUARY 6, 2021

Microsoft D365 F&SCM is targeted at mid-sized enterprises, while Microsoft D365 BC is a good fit for smaller businesses with simpler requirements. 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.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

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. Today’s technology takes this evolution a step further. Making Sense of Disparate Systems.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

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

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Cost-Benefit 92

Cost-Benefit Optimization Risk Management 92

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Computer vision fuels self-driving cars.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

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 84

Consulting Cost-Benefit Technology ROI 84

Jet Global

JANUARY 6, 2020

Business intelligence (BI) tools have become an enterprise software staple, and it’s easy to see why: the ability to explore, visualize and share business data has made BI solutions a bedrock upon which faster, better decisions can be made. So, what’s next? Sounds like a fix, right? Think again. Determine if reporting is automated.

Consulting 64

Consulting Reporting Finance Data Warehouse 64

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. He is passionate about big data and data analytics.

Metadata 82

Metadata Testing Data Lake Consulting 82

datapine

JANUARY 24, 2021

Predictive & Prescriptive Analysis – in short, it is based on analyzing current and historical datasets to predict future possibilities, including alternative scenarios and risk assessment. ETL data warehouse*. Another significant of your data analytics questions refers to the end users of our analysis. Who are they?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. This is also the point where data quality rules should be reviewed again.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JULY 28, 2023

Enterprises are dealing with increasing amounts of data, and managing it has become imperative to optimize its value and keep it secure. Data lifecycle management is essential to ensure it is managed effectively from creation, storage, use, sharing, and archive to the end of life when it is deleted.

Risk 92

Risk Management Cost-Benefit Data mining 92

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 70

Data Warehouse Cost-Benefit KPI Risk 70

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Cloudera

SEPTEMBER 12, 2018

Enterprise Machine Learning: . AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Modern Data Warehousing: Barclays (nominated together with BlueData ). Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Cloudera

NOVEMBER 6, 2017

While cloud services do provide useful resources — such as compute instances and object storage on demand — Cloudera offers the unified platform to organize, process, analyze, and store data at large scale… anywhere.

Metadata 40

Metadata Data Science Enterprise Risk 40

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.

Analytics 59

Analytics Data-driven Management Reporting 59

IBM Big Data Hub

FEBRUARY 19, 2024

Cost optimization can be achieved through a combination of productivity enhancements, infrastructure savings and reductions in operating expenses. In 2023, the global data monetization market was valued at USD 3.5 When it comes to data optimization, most organizations focus solely on infrastructure cost reduction.

Cost-Benefit 66

Cost-Benefit Data-driven Optimization Marketing 66

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130