Laminar Security

APRIL 18, 2023

Laminar’s recent announcement of new features for its cloud-native Data Security Posture Management (DSPM) platform is a step towards meeting this challenge head-on. Laminar has become the first cloud-native DSPM solution to meet stringent and demanding enterprise requirements. in addition to the user role.

Enterprise 52

Enterprise Management Dashboards Snapshot 52

CIO Business Intelligence

OCTOBER 2, 2024

And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. Classifiers are provided in the toolkits to allow enterprises to set thresholds. “We

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Ontotext

MARCH 8, 2023

Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. 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.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Jet Global

DECEMBER 8, 2020

A full Power BI implementation is a large-scale project, and it carries similar risks. If you are considering using Power BI in your organization, here are some key points to keep in mind that impact project risk: 1. Power BI doesn’t come with any reports out of the box. Power BI Is Highly Complex.

Finance 52

Finance Risk Reporting Software 52

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. By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Jet Global

JANUARY 6, 2020

Wes Gillette, VP of Product Management, insightsoftware discusses the problems most Finance professionals face with ERP financial reporting. While there’s no question that BI provides powerful and intuitive graphical analysis that serves most departments well, there is an exception: financial reporting. The Search for Real-time Data.

Consulting 64

Consulting Reporting Finance Data Warehouse 64

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 93

Data Warehouse Experimentation Cost-Benefit Dashboards 93

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 105

Data Warehouse Reporting Risk Cost-Benefit 105

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. In Summary.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

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

Cloudera

JANUARY 28, 2022

Are you seeking to improve the speed of regulatory reporting, enhance credit decisioning, personalize the customer journey, reduce false positives, reduce data warehouse costs? What data do I need to achieve these objectives? Managing Cloud Concentration Risk. Yet, the hybrid profile varies from firm to firm.

Slice and Dice 119

Slice and Dice Cost-Benefit Data Governance Risk 119

erwin

FEBRUARY 13, 2020

There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

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

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

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 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

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. Advanced analytics.

Cost-Benefit 52

Cost-Benefit Data Warehouse Digital Transformation Risk 52

Jet Global

JANUARY 2, 2020

Business intelligence (BI) tools are part of the furniture in many organisations, especially when it comes to sharing and visualising data. Finance teams’ reporting needs are too specialised for modern BI tools, so finance needs something different. What’s So Special about Financial Reporting?

Finance 52

Finance Management Data Warehouse Recreation/Entertainment 52

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. As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 98

IT Forecasting Data Lake Enterprise 98

IBM Big Data Hub

NOVEMBER 15, 2023

IBM watsonx is changing the game for enterprises of all shapes and sizes, making it easy for them to embed generative AI into their operations. A platform prioritized for enterprise AI IBM is focused on helping organizations create business value by embedding generative AI.

Sales 87

Sales Software Modeling Enterprise 87

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

FEBRUARY 5, 2019

It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. . Gartner study ?states Download Now.

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . DATA FOR ENTERPRISE AI. DATA FOR GOOD. HYBRID & MULTI-CLOUD INNOVATION. SECURITY AND GOVERNANCE LEADERSHIP. PEOPLE FIRST.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

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

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

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. The Role of Metadata in Data Governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

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

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Data Warehouse Metadata Digital Transformation 52

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. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Digital Transformation 94

Digital Transformation Cost-Benefit Data Lake Machine Learning 94

Octopai

JANUARY 8, 2020

You can’t do this easily without automated data lineage tools. Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. You can evaluate and mitigate compliance risks. On the Horizon: Federal Data Privacy Law.

Metadata 72

Metadata Key Performance Indicator OLAP Forecasting 72

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. It served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

Data Warehouse 97

Data Warehouse Data Lake Cost-Benefit Structured Data 97

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. For nearly two decades, Microsoft has been managing a portfolio of ERP solutions for small and mid-sized enterprises (SMEs).

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Recreation/Entertainment 52

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. Brittany Ly is a Solutions Architect at AWS.

IoT 102

IoT Analytics Dashboards Data-driven 102

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. The Role of Metadata in Data Governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

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

Octopai

JUNE 1, 2020

Implementing good data mapping practices is an important way modern enterprise organizations use advanced business metrics for strategic insight. With the rapid rise of new data regulations across the globe, capable data mapping isn’t just a tool for companies to get a leg up on the competition – it is required for legal compliance.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

CIO Business Intelligence

AUGUST 21, 2024

And, yes, enterprises are already deploying them. The systems are fed the data, and trained, and then improve over time on their own.” Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.”

Risk 135

Risk Insurance Cost-Benefit Software 135