Smart Data Collective

DECEMBER 21, 2022

A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year. Unfortunately, some business analytics strategies are poorly conceptualized.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

DataKitchen

MARCH 12, 2024

“Our vision was to create a flexible, state-of-the-art data infrastructure that would allow our analysts to transform the data rapidly with a very low risk of error. After working with DataKitchen for a while, we noticed almost an absolute absence of data errors we didn’t catch earlier. Databricks was all green.

Metrics 117

Metrics Software Cost-Benefit Testing 117

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Analytics 102

Analytics Data mining Finance Analytics Technologies 102

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM).

Risk Management 70

Risk Management Risk Management Big Data 70

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. Find Trusted Data.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Alation

JUNE 9, 2023

We were thrilled to attend Gartner Data and Analytics Summit 2023 , on May 22–24 in London. D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science.

Data Analytics 52

Data Analytics Analytics Data Quality Data-driven 52

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 85

Analytics Insurance Big Data Uncertainty 85

DataKitchen

MARCH 5, 2024

Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. The Stakeholder Confidence Crisis Relying on hope as a data accuracy and integrity strategy is fraught with risks.

Data Quality 146

Data Quality Measurement Testing Data-driven 146

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

IBM Big Data Hub

MAY 9, 2024

Conversely, confidence in the accuracy and consistency of your data can minimize the risk of adverse health outcomes, rather than merely reacting to or causing them. Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients.

Data Governance 67

Data Governance Data Quality Insurance Predictive Analytics 67

Octopai

JUNE 9, 2024

They invested heavily in data infrastructure and hired a talented team of data scientists and analysts. The goal was to develop sophisticated data products, such as predictive analytics models to forecast patient needs, patient care optimization tools, and operational efficiency dashboards.

IT 52

IT Data-driven Data Strategy Predictive Analytics 52

Alation

MARCH 8, 2022

They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. But they then risk using the wrong data, pulling others away from more important jobs, or making bad decisions based on bad data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

CIO Business Intelligence

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Many industries and regions have strict regulations governing data privacy and security,” Miller says.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

Dataiku

JANUARY 19, 2022

Risks of failing to implement a data quality assurance policy can be far reaching, especially when it is a reactive versus proactive approach. Imagine incorrect or broken automated reports for stakeholders, causing not only hours of rework, but loss of confidence in the value of the data.

Data Science 64

Data Science Data Quality Analytics Risk 64

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

MAY 15, 2023

Data lineage helps identify redundant or inefficient data integration steps, allowing organizations to streamline their processes and reduce development, maintenance, and operational costs associated with ETL. Data quality costs: Poor data quality can result in significant costs for organizations.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management.

Strategy 96

Strategy Technology Cost-Benefit Risk Management 96

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. The mean reported budget among respondents was $5.41

Data-driven 142

Data-driven Data Quality Strategy Reporting 142

IBM Big Data Hub

NOVEMBER 29, 2023

To build that trust and drive broad adoption, vendors of synthetic data generation tools will need to address two critical questions that many business leaders ask: Will synthetic data expose my business to additional data privacy risks? How accurately does synthetic data reflect my existing data?

Metrics 81

Metrics Machine Learning Statistics Risk 81

Smart Data Collective

SEPTEMBER 28, 2022

For example, if you want to know what products customers prefer when shopping at your store, you can use big data analytics software to track customer purchases. Big data analytics can also help you identify trends in your industry and predict future sales. Information management mitigates the risk of errors.

Big Data 104

Big Data Management Data Quality Cost-Benefit 104

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. Did it use the expected amount of resources?).

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

AWS Big Data

FEBRUARY 29, 2024

Implement data privacy policies. Implement data quality by data type and source. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail. Link structured and unstructured datasets.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

MAY 8, 2024

Automic is the largest listed registry provider in Australia, with an integrated cloud-native platform that manages listed registry, funds, employee share plans, and investor analytics. All of this stems from understanding where your data is. The risk profile was very different to what it is now.

Risk 103

Risk Testing Strategy Technology 103

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Regulatory and compliance.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 103

Data Governance Enterprise Data Quality Metadata 103

Jet Global

AUGUST 28, 2023

29, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it acquired Vizlib , a UK-based software company that builds powerful value-added products for Qlik Sense. The company has experienced tremendous growth with a five-year percentage growth rate of 425 percent.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Gartner Data & Analytics Summit 2022: Keynote Highlights.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

CIO Business Intelligence

MAY 15, 2024

“If you have a data center that happens to have capacity, why pay someone else?” According to Synopsys’ open source security and risk analysis released in February, 96% of all commercial code bases contained open source components. It also focuses largely on risk and governance issues. It’s almost a way to mitigate risk.”

Modeling 133

Modeling Risk Software Enterprise 133

erwin

MARCH 25, 2021

According to IDC, professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics. Specifically, 80 percent of data professionals’ time is spent on data discovery, preparation and protection, and only 20 percent on analysis leading to insights.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

CIO Business Intelligence

JUNE 9, 2023

A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 million per year.’” Beyond lost revenue, data quality issues can also result in wasted resources and a damaged reputation. Without it, organizations incur a significant opportunity cost.

Strategy 107

Strategy Management Key Performance Indicator ROI 107

erwin

APRIL 29, 2020

Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data. For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. This can ensure that the decisions made are reliable and of high quality.

Risk 68

Risk Risk Management Reporting Metadata 68

DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Learn, improve, and iterate quickly (with feedback from the customer) with low risk. And that code creates complexity.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130