IBM Big Data Hub

FEBRUARY 9, 2023

Technology and data architecture play a crucial role in enabling data governance and achieving these objectives. Focus and prioritize what you’re delivering to the business, determine what you need, deliver and measure results, refine, expand, and deliver against the next priority objectives. Don’t try to do everything at once!

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. Exclusive Bonus Content: How to be data driven in decision making? What Is Data Driven Decision Making?

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

APRIL 8, 2024

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. million video frames and documents about 100 million locations and positions of players on the field.

Analytics 99

Analytics Broadcasting Predictive Analytics Metrics 99

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 130

Measurement Digital Transformation KPI Metrics 130

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 1) Data Quality Management (DQM). The analytics trends in data quality grew greatly this past year.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

erwin

FEBRUARY 4, 2021

It uncovered a number of obstacles that organizations have to overcome to improve their data operations. 1 bottleneck, according to 62 percent of respondents, was documenting complete data lineage. Overcoming Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Data Wrangling and Feature Engineering.

Marketing 362

Marketing Experimentation Metrics Testing 362

Alation

AUGUST 17, 2022

Data governance policy should be owned by the top of the organization so data governance is given appropriate attention — including defining what’s a potential risk and what is poor data quality.” It comes down to the question: What is the value of your data? Risk, however, is a different challenge.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

datapine

JANUARY 21, 2020

Enhancing the recruitment process with HR analytics tools can bring dynamic data under the umbrella of BI reporting, making feedbacks, interviews, applicants’ experience and staffing analysis easier to process and derive solutions. Utilization of real-time and historical data. Operational optimization and forecasting.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

CIO Business Intelligence

MARCH 7, 2024

In my recent column, I delved into the challenges enterprises face in integrating AI into the workplace and outlined strategies for CISOs to monitor or control the use of AI effectively. Firewall capability for AI security: Enhance security measures by providing firewall capabilities to safeguard against potential AI-related vulnerabilities.

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. When are data products deprecated, and who is accountable for the consequences to their consumers?

Management 76

Management Risk Measurement Optimization 76

Jet Global

AUGUST 23, 2021

Used primarily in a strategic context by corporate Finance Divisions and Boards of Directors, financial statements are key documents that must be prepared and produced with care. Manage data from diverse systems. Data quality is a central point for producing quality reports that can be used effectively in decision-making.

Finance 52

Finance Reporting Data Collection Data Quality 52

Cloudera

NOVEMBER 15, 2021

Examples of structured data include the Iris Flower data set where each datum (corresponding to a sample flower) has the same, predefined structure, namely the flower type, and four numerical features: height and width of the petal and sepal. Data curation. months since 2012.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. There is no hierarchy among the six action areas.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Be data driven?" " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love!

KPI 124

KPI Metrics Measurement ROI 124

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. Risk-control staff take care of risk measurement, limits, monitoring, and independent validation.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Andrew White

MARCH 22, 2019

Strategy is Learning By Doing. This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things.

Analytics 68

Analytics Metadata Data Governance Management 68

O'Reilly on Data

OCTOBER 22, 2020

More recently, at least one company has earned itself significant PR and legal controversy for collecting training data sources from social media platforms under circumstances that were at least arguably a violation of both the platform’s terms of service and platform users’ legal rights.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. Perform data quality checks and develop procedures for handling issues.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

MARCH 14, 2024

The UK government could improve productivity through widespread and systematized uptake of generative AI, but only if it takes steps to build its expertise and come up with an adoption strategy, a new study has found.

Testing 105

Testing Risk Digital Transformation Statistics 105

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. This strategy is not based on a “gut feel” or anecdotal knowledge of a few individuals, but on a well-documented, expansive set of findings, business analysis and calculated projections.

Data-driven 91

Data-driven IT Measurement Cost-Benefit 91

Cloudera

SEPTEMBER 7, 2023

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Systematize governance. AI-ify risk management.

Insurance 79

Insurance Risk Data-driven Finance 79

Smart Data Collective

AUGUST 26, 2021

This has helped companies finetune their accounting practices and better address the nuances of their financial strategies. Assurance services (measuring whether something complies with laws). Bookkeeping: The process of documenting the financial transactions in a business or organization. The Role Of Accountants In Business.

Deep Learning 96

Deep Learning Finance Cost-Benefit Advertising 96

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. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

FEBRUARY 17, 2023

The firms that get data governance and management “right” bring people together and leverage a set of capabilities: (1) Agile; (2) Six sigma; (3) data science; and (4) project management tools. The overall program should set a 2-year vision, mission, and goals, and then focus on execution, measuring progress along the way.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

CIO Business Intelligence

MAY 2, 2023

While citizen developers can improve micro-efficiency, business agility, and innovation, they also present risks, such as security, compliance, privacy, data quality, duplication of efforts and technologies, and mounting technical debt.

Cost-Benefit 96

Cost-Benefit Risk Enterprise Optimization 96

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52