Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

AWS Big Data

OCTOBER 18, 2023

Analyze the assessment report and address the action items. Migrate data from Azure Synapse to Amazon Redshift using AWS SCT data extraction agents: Generate trust and key stores (this step is optional). AWS SCT converts all the Azure Synapse code and data objects to Amazon Redshift format. to indicate local host.

Analytics 99

Analytics Data Warehouse Testing Dashboards 99

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning.

Unstructured Data 124

Unstructured Data Dashboards Business Intelligence Data Governance 124

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

IBM Big Data Hub

DECEMBER 4, 2023

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings. Before Oracle implementation Implementing Oracle can appear to be a daunting task.

Testing 75

Testing Consulting Digital Transformation Cost-Benefit 75

Cloudera

NOVEMBER 17, 2022

Cloudera’s CDP is the only solution that can address the system, hosting, integration and security, enabling us to deploy quickly and easily with minimal impact to operations.” and primarily served regulatory reporting and internal analytics requirements. ” Prior to the upgrade, HBL’s 27 node cluster ran on CDH 6.1

Management 82

Management Data Lake Consulting Unstructured Data 82

CIO Business Intelligence

FEBRUARY 28, 2024

Even in its infancy, gen AI has become an accepted course of action and application, and the most common use cases include automation of IT processes, security and threat detection, supply chain intelligence, and automating customer service and network processes, according to a report released by IBM in January.

IT 127

IT Consulting Modeling Enterprise 127

Cloudera

SEPTEMBER 15, 2020

The main reason for this change is that this title better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. This means businesses have flexibility and choice over where they host their data and don’t have to be dictated to by any provider. .

Enterprise 63

Enterprise Cost-Benefit Digital Transformation Data Processing 63

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Organizations using C360 achieved 43.9% faster time to market, and 19.1%

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Cloudera

SEPTEMBER 7, 2023

Enable reporting to internal teams about the statuses of AI projects. 3- Advanced AI Integration At this stage of adoption, financial institutions and insurance companies engage more intensively with AI and its capabilities, extracting more valuable insights from data. Find out more about CDP, modern data architectures and AI here.

Insurance 78

Insurance Risk Data-driven Finance 78

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. First, how we measure emissions and carbon footprint is about data design and policy. Overall I would offer that a focus on data literacy and job descriptions for the roles you are looking at should help.

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift.

Data-driven 98

Data-driven Data Lake Data Quality Data Governance 98

FineReport

MARCH 31, 2024

These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets. These tools seamlessly connect and consolidate data from diverse sources, ensuring cleanliness, structure, and aggregation of data in various formats.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

CIO Business Intelligence

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data Lake 134

Data Lake Data-driven Finance Data Architecture 134

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52