FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

datapine

MARCH 25, 2019

This is one of the most important data analytics techniques as it will shape the very foundations of your success. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Harvest your data. Build a data management roadmap. Visualize your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. And the tools for acting on data are consolidating: Tableau does data prep, Altreyx does data science, Qlik joined with Talend, etc. We are heading into ‘data winter.’

Metadata 130

Metadata Testing Risk Data Science 130

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Data Analytics 220

Data Analytics Analytics Data Governance Visualization 220

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. For this purpose, you can think about a data governance strategy. click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Smarten

MAY 24, 2018

ElegantJ BI CEO, Kartik Patel says, “We look forward to demonstrating our Smarten analytics software solution, and to seeing new and familiar faces, as we welcome analytics experts and customers to this exciting event.”.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 80

Management Metadata Data Architecture Data Lake 80

CIO Business Intelligence

NOVEMBER 28, 2023

Our rigorous data governance framework ensures the foundation of our analyses is rock-solid.” Prioritizing data that business users can act on is also vital. Ensure value with visualizations. The process of making unstructured data usable doesn’t end with analysis, Minarik says. Monitor as you go.

Unstructured Data 116

Unstructured Data Data-driven Visualization Data Quality 116

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

AWS Big Data

MAY 1, 2024

Excel-based data utilization Microsoft Excel is available on almost everyone’s PC in the company, and it helps lower the hurdles when starting to utilize data. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation.

Dashboards 112

Dashboards Data-driven Publishing Cost-Benefit 112

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 129

Analytics Slice and Dice Metrics Sales 129

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. Learn more about CDP Private Cloud here.

Cost-Benefit 87

Cost-Benefit Data Architecture Risk IoT 87

Andrew White

JANUARY 11, 2021

As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Governance. Risk Management (most likely within context of governance). Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Smarten

JUNE 13, 2019

With self-serve data preparation tools, you can: Improve business analyst and business user productivity. Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. Reduce user dependence on analysts, ETL and SQL expertise.

Data Quality 51

Data Quality Data Governance Testing Visualization 51

Cloudera

AUGUST 26, 2020

Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface. Certified Security Partners.

Machine Learning 82

Machine Learning Big Data Data Warehouse Data-driven 82

Alation

APRIL 14, 2022

This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. The Cloud Data Migration Challenge. A useful feature for exposing patterns in the data.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

InsightOut

JULY 16, 2021

But in the future, you can overcome this challenge and benefit from having insights from data if you set up an effective management dashboard for your goals.xc2xa0 A dashboard is a visual information management tool that enables you to track relevant data points and key performance indicators (KPIs) at a glance.

Dashboards 52

Dashboards Management KPI Sales 52

AWS Big Data

JUNE 29, 2023

Tracking such user queries as part of the centralized governance of the data warehouse helps stakeholders understand potential risks and take prompt action to mitigate them following the operational excellence pillar of the AWS Data Analytics Lens. Choose PUBLISH & VISUALIZE. Choose Validate and Update.

Data Warehouse 61

Data Warehouse Dashboards Testing Visualization 61

datapine

DECEMBER 11, 2019

Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency. 9) A Mobile-First Mindset. This trend doesn’t apply to SaaS vendors alone.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. This data will be available to investors who are keen on a low-carbon future. Download Whitepaper. BRIDGEi2i can help you Reimagine your Business with AI.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

erwin

JUNE 11, 2020

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CDW Research Hub

NOVEMBER 29, 2021

IoT edges are network hubs that often combine operational technology (OT) data and informational technology (IT) data. With edge computing, computation and data analytics are brought closer to the source of the data —where things and people produce or consume that information. Layer 5: Data management.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

AWS Big Data

APRIL 24, 2023

In 2022, we announced that you can enforce fine-grained access control policies using AWS Lake Formation and query data stored in any supported file format using table formats such as Apache Iceberg , Apache Hudi, and more using Amazon Athena queries. Select Visual with a blank canvas. Choose Create job. Choose Create.

Data Lake 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 74

Internet of Things Strategy Data Strategy Risk 74

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

AWS Big Data

DECEMBER 21, 2023

This is the Data Mart stage. The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Smarten

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Jet Global

DECEMBER 4, 2023

Logi Symphony is a suite of powerful Embedded Business Intelligence & Analytics (ABI) software that empowers Independent Software Vendors (ISVs) and application teams to embed analytical capabilities and data visualizations into their SaaS applications.

Analytics 52

Analytics Reporting Dashboards Software 52

BI-Survey

FEBRUARY 6, 2020

ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards. Only a minority of companies say they have a modern reporting landscape and regularly base decisions on data. Maintain a comprehensive data catalog to make data treasures easy to find.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

OCTOBER 27, 2022

Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason! We specialize in multiple functions, which include but are not limited to, data governance , dashboarding, data & analytics engineering, and data science. Let’s dive in. What do you do at Alation? Happy to chat.

Metrics 52

Metrics Dashboards Sales Reporting 52

AWS Big Data

MAY 17, 2023

One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis. The other was a group of business users who, each morning, would perform queries to generate local data visualizations, creating a surge of capacity on the Amazon Redshift data warehouse. “So,

Data Warehouse 113

Data Warehouse Cost-Benefit Sales Data-driven 113