IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.

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The Data Administration Newsletter

MARCH 15, 2022

Borne of the Japanese business philosophy, kaizen is most often associated […]. What do all these disciplines have in common? Continuous improvement. Simply put, these systems pursue progress through a proven process. They make testing and learning a part of that process.

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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataversity

AUGUST 12, 2024

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom.

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AWS Machine Learning Blog

APRIL 3, 2025

Data governance challenges Maintaining consistent data governance across different systems is crucial but complex. Embracing generative AI with Amazon Bedrock The company has identified several use cases where generative AI can significantly impact operations, particularly in analytics and business intelligence (BI).

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Dataversity

SEPTEMBER 21, 2021

In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points. The post The Declarative Approach in a Data Playground appeared first on DATAVERSITY. But […].

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Data Governance Business Intelligence Business Intelligence Data Quality 98

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Meet Governance Requirements.

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Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Subscribe to Alation's Blog. [2] -->. Conclusion.

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Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

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Data Governance Data Quality Analytics Analytics 52

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. Low quality In many scenarios, there is no one responsible for data administration.

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Precisely

NOVEMBER 5, 2024

While data quality issues are nothing new, the impact of these problems is more impactful on business outcomes than ever before. That’s due to the speed at which advanced analytics, business intelligence (BI), and artificial intelligence (AI) are progressing.

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Data Quality Analytics Analytics Data Governance 59

Defined.ai blog

AUGUST 10, 2023

Data Quality For AI to produce reliable results, it needs high-quality data. Ensuring accurate, relevant, complete, and up-to-date data is essential. Regular data audits and implementing robust data governance practices can help maintain data quality. Implementing robust data security measures.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analysis Data Analysis 52

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Subscribe to Alation's Blog.

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Data Governance Machine Learning Machine Learning Artificial Intelligence 105

Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

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IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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IBM Journey to AI blog

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. It enables a centralized repository of information and provides real-time visibility into the entire business.

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Analytics Analytics Business Intelligence Business Intelligence 94

Data Science Dojo

JANUARY 12, 2023

Analytics Data lakes give various positions in your company, such as data scientists, data developers, and business analysts, access to data using the analytical tools and frameworks of their choice. You can perform analytics with Data Lakes without moving your data to a different analytics system. 4.

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IBM Journey to AI blog

MAY 17, 2024

The push to enhance productivity, use resources wisely, and boost sustainability through data-driven decision-making is stronger than ever. Yet, the low adoption rates of business intelligence (BI) tools present a significant hurdle.

Exploratory Data Analysis 101

Exploratory Data Analysis Data Analysis Data Analysis Business Intelligence 101

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing. The DataRobot and Snowflake platforms include extensive built-in trust features to enable explainability and end-to-end bias and fairness testing and monitoring over time.

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Data Science Data Warehouse Analytics Analytics 145

Alation

FEBRUARY 20, 2020

Self-service analytics tools have been democratizing data-driven decision making, but also increasing the risk of inaccurate analysis and misinterpretation. A “catalog-first” approach to business intelligence enables both empowerment and accuracy; and Alation has long enabled this combination over Tableau.

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Dataversity

AUGUST 16, 2023

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

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Big Data Big Data Business Intelligence Business Intelligence 80

IBM Journey to AI blog

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.

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AI AI Data Scientist Data Governance 93

IBM Journey to AI blog

MAY 9, 2023

. “The media and entertainment industry has undergone a significant digital transformation, with viewers consuming content across different devices and platforms,” said Vitaly Tsivin, EVP Business Intelligence at AMC Networks. ” Notably, watsonx.data runs both on-premises and across multicloud environments.

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Alation

JUNE 9, 2021

According to Gartner, data culture is a top priority for chief data officers (CDOs) and chief data & analytics officers (CDAOs). This post focuses on the role of data search & discovery within a data culture. The third and fourth posts take a deeper look at data literacy and data governance respectively.

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Data Governance Database Cloud Data Machine Learning 59

phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. In this blog, we will provide a high-level summary of row-level security, why it’s important for your team, when to use it, and how to set it up in Power BI.

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Power BI Data Modeling Data Models Data Governance 101

phData

SEPTEMBER 14, 2023

One of the great things about Power BI is all of the native connectors that exist, making it extremely easy for developers to seamlessly connect to the source system and pull their data into Power BI. In this blog, we’ll discuss why you need a Snowflake connection if you’re using a gateway and how to set one up.

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Power BI Data Governance Clustering Business Intelligence 69

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As they grow in both their complexity and data production/consumption, a data governance strategy needs to be designed as part of your information architecture.

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Alation

APRIL 7, 2021

Business and technical users have always found Alation Data Catalog simple to use and manage. Enterprises can use the data catalog without any administrative overhead. Deliver data intelligence, as a service. Intelligence. Active Data Governance. Subscribe to Alation's Blog.

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Data Governance Data Silos AWS Data Lakes 52

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

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Data Warehouse Data Engineering Data Engineering Data Engineer 58

AWS Machine Learning Blog

OCTOBER 2, 2024

This includes implementing access controls, data governance policies, and proactive monitoring and alerting to make sure sensitive information is properly secured and monitored. For cases where you need a semantic understanding of your data, you can use Amazon Kendra for intelligent enterprise search.

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Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

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Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Pickl AI

APRIL 27, 2023

For example, how can we maximize business value on the current AI activities? How can automation transform the business, optimizing resources and driving innovative measures to make business more competitive? In the next segment of this blog, we will be unfolding some of the key trends in the Data domain that you should know.

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Analytics Analytics Data Science Artificial Intelligence 52

Alation

JUNE 16, 2021

Alation … [offers a] dedicated data catalog… while others include this functionality as a part of a broader (e.g., business intelligence) solution. Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Data governance is a growing focus.

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Data Governance Business Intelligence Business Intelligence Analytics 52

Alation

MARCH 8, 2022

To maintain trust and confidence, it’s critical that self-service data instills a level of trust so workers can get the data they need and make quick, confident decisions. Connects BI to data science tools. Data Analytics Governance: What You Need to Know. Subscribe to Alation's Blog.

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Analytics Analytics Data Governance SQL 52

IBM Journey to AI blog

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.

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Data Lakes AI AI Data Governance 73

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

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Data Warehouse Business Intelligence Business Intelligence Data Profiling 59