Data governance process gets fine-tuned

Data governance process gets fine-tuned, as big data makes its mark

Data governance process gets fine-tuned, as big data makes its mark

As data-driven business models, digital transformations, big data analytics and the like continue to rise, they challenge the conventional data governance process.

They also provide opportunity to place data governance at the center of important business changes, according to participants in last week's Enterprise Data Governance Online 2017 webinar.

Among the most challenging new developments is the data lake, which, in its most basic form, eschews upfront curation and categorization of data. Curation, which includes cleansing data and assuring its consistency, is among the hallmarks of the data governance process.

Effective data governance can be applied to a Hadoop data lake, according to Shannon Fuller, director of data governance at Carolinas HealthCare System, based in Charlotte, N.C. The data-lake path was chosen for an innovative big data project, he said, because it could encourage more rapid application development and create a common repository, while protecting patients' information and protecting intellectual property.

"We decided this would not be another data warehouse," Fuller said. "It would be stand-alone assets available to the whole organization."

Read Also:
3 Questions to Ask about your Enterprise Data Lake

One road to reports, another to sandbox Fuller said his organization is using a twofold path that prepares sets of curated data carefully for both business users and data scientists. Driving the project is Carolinas HealthCare's push to look at a patient's overall treatment plan, taking disparate data into account and making decisions on compensation models. Fuller described his operation as an IBM InfoSphere shop, but said the pilot data lake was accomplished using Microsoft's HDInsight and Azure Data Lake Store. Tresata software was used to catalog some of the source data, according to Fuller. Once treated, data is then pushed back into the Azure Data Lake Store to be further analyzed, or to feed reports and executive dashboards.



Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
More Firms Embracing Streaming Analytics, Machine Learning

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
Expanding IoT Necessitates Better Data Storage and Management Solutions
Read Also:
Data governance for each step in data’s journey -

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
Microsoft Embraces Spark for Cloud-Based Big Data Analytics

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Data Scientists and the Practice of Data Science

AI Paris

6
Jun
2017
AI Paris

20% off with code AIP17-7WDATA-20

Read Also:
9 Questions to Determine If a BI Solution Is Truly Self-Service

Leave a Reply

Your email address will not be published. Required fields are marked *