datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. Over the past 5 years, big data and BI became more than just data science buzzwords. Your Chance: Want to build a successful BI strategy today? What Is A Business Intelligence Strategy?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. Let’s look at five different ways.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

CIO Business Intelligence

APRIL 29, 2022

In this new era the role of humans in the development process also changes as they morph from being software programmers to becoming ‘data producers’ and ‘data curators’ – tasked with ensuring the quality of the input. Further, data management activities don’t end once the AI model has been developed. Addressing the Challenge.

Data Governance 144

Data Governance IT Risk Data Lake 144

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. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Internal and external auditors work with many different systems to ensure this data is protected accordingly.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. Business strategy. Data engineering. Analytics forecasting. Linear programming. DataOps. …

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. Digital Transformation Strategy: Smarter Data.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Smart Data Collective

NOVEMBER 30, 2020

Ensure that Your Data Accumulation Strategy is Fully Compliant with All Regulations. The legality of collecting data has changed in recent years. The GDPR and various state laws have forced companies to take a closer look at their data collection processes.

Data Governance 87

Data Governance Data Collection Marketing Strategy 87

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

erwin

JULY 26, 2019

Enterprise architecture is invaluable for internal business intelligence (but is rarely used for real intelligence), governance (but often has a very narrow focus), management insights (but doesn’t typically provide useful insights), and transformation and planning (ok, now we have something!). Lack of true asset governance and collaboration.

Digital Transformation 106

Digital Transformation Strategy Enterprise Business Intelligence 106

IBM Big Data Hub

MARCH 26, 2024

Maximizing value with a holistic strategy The first step in maximizing that dual value is upfront due diligence to assess the current state of reporting readiness, alignment between ESG requirements and voluntary sustainability initiatives, and consider how to drive acceleration with future-proofed solutions.

Measurement 63

Measurement Metrics Strategy Reporting 63

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Alation

MAY 16, 2023

Sources can include analytics data regarding user behavior, transactional data from ecommerce websites, and third-party data from other organizations. It’s worth noting that a data pipeline may have more than one data source. Ingestion tools are connected to various data sources.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

bridgei2i

MARCH 11, 2021

How Can Small Businesses Benefit from an AI Data Company? We all know how Artificial Intelligence helps giants like Google and Amazon reshape their commercial techniques and business strategies. Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. What is a Data Governance Strategy?

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Even the most sophisticated big data tools can’t make up for this problem.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 78

Manufacturing Business Objectives Cost-Benefit Optimization 78

Sisense

JULY 6, 2020

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. How to define your enterprise data management strategy.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

IBM Big Data Hub

APRIL 24, 2024

While following the law can help avoid penalties, it may not be enough to fully protect personally identifiable information (PII) and other sensitive data from hackers, misuse, and other privacy threats. Some kinds of data, like biometrics and social security numbers, require stronger protections than others.

Risk 81

Risk Measurement Data Governance Insurance 81

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Natural Language Processing (NLP). Identify Opportunities.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 89

IT Manufacturing Business Objectives Cost-Benefit 89

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

SEPTEMBER 1, 2022

BARC has named Alation a leader in the new BARC Score Data Intelligence Platforms Report. A strong product strategy, roadmap, and powerful collaborative features were all reasons cited for our strong showing. Activating metadata within a data intelligence platform surfaces key insights and unburden experts from tedious manual work.

Reporting 52

Reporting Metadata Data Governance Interactive 52

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

CIO Business Intelligence

MARCH 23, 2022

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed. Protiviti Managing Director, Technology Strategy & Operations. Joan Smith.

Technology 86

Technology IoT Internet of Things Data-driven 86

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 61

Data Architecture Data Lake Machine Learning Data Governance 61

Alation

MAY 16, 2023

Sources can include analytics data regarding user behavior, transactional data from ecommerce websites, and third-party data from other organizations. It’s worth noting that a data pipeline may have more than one data source. Ingestion tools are connected to various data sources.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

IBM Big Data Hub

DECEMBER 16, 2022

To scale the use of responsible AI requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. A comprehensive AI governance strategy encompasses people, process and technology. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

Uncertainty 114

Uncertainty Metadata Modeling Data Collection 114

Jet Global

SEPTEMBER 29, 2021

Breaking down silos and increased information sharing makes initiatives more successful–increased transparency across the business helps set strategy that encompasses both financial and operational goals. Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Reduce Data Bias.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

IBM Big Data Hub

JANUARY 19, 2023

In implementing cohesive data protection initiatives, organizations that can secure their users’ data see huge wins in brand image and customer loyalty and stand out in the marketplace. The key to differentiation comes in getting data protection right, as part of an overall data strategy.

Risk Management 60

Risk Management Risk Strategy Data Strategy 60

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52