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Posts from the ‘Data Governance’ Category

5
Jan

The Diamond is Polished

Today, is a big day. Quest Software announced its acquisition of erwin, Inc. erwin now joins Quest’s Information Systems and Management (ISM) business unit, which contains the Database Management, Data Protection, and Unified Endpoint Management solutions.

When we established erwin as its own entity, we knew the company had a tremendous foundation in data modeling on which to build. It was and continues to be the world’s No. 1 data modeling solution.

We knew erwin was a diamond in the rough.

From the beginning, our vision was to transform erwin into a pre-eminent player in the data space and—with the acquisitions of erwin from CA Technologies, and the subsequent acquisitions of Corso, Casewise, A&P Consulting, and Analytix DS, plus the hard work of the R&D team— the company became laser-focused on data governance. We believed that the combination of data governance, enterprise architecture, business process, and data modeling was a powerful and differentiated value proposition that would resonate with our strategic enterprise customers. And it did.

Solving the enterprise data dilemma was our mission. Helping companies navigate complex regulations, enabling digital transformation, streamlining migration and data governance from legacy to cloud data platforms, and over the past year, harnessing data to respond and survive during the pandemic — erwin has helped our customers respond to every critical data issue.

Over the years, we’ve received countless accolades including being recognized as a leader in Gartner’s Magic Quadrant for Metadata Management Solutions (for two consecutive years); DBTA’s Readers’ Choice Award; Big Data 50; DBTA 100; and so on. 

All of this is to say, I am so proud of what our team has accomplished. Our relationships with our customers and partners has also been important at every stage in our journey. I am so grateful to each of you. 

When I was heading the erwin Business Unit back at CA years ago, I knew erwin was a diamond in the rough. It just needed to be polished. Over the past four plus years, we’ve taken that diamond and made it shine. I am so truly proud to have been a part of the erwin story. 

30
Dec

erwin’s predictions for 2021: Data Relevance Shines at the End of the Tunnel

I think it’s fair to say that we’re all glad to usher in a New Year.

Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. 

Our predictions for 2021 are rooted in what we’ve learned from this past year and the relevance of data  in getting us to where we are and where we need to go. With that said, here are seven predictions for the New Year:

1.      “Death of the Office” Alters Compliance: Since the pandemic, many organizations have decided remote work is here to stay. However, challenges persist if your organization doesn’t take proper precautions in supporting a remote workforce — from human resources to productivity and IT security – especially when regulations such as the European Union’s General Data Protection Regulation (GDPR) are involved. In highly regulated environments, such as financial services, healthcare and pharma, attestations, audit trails and compliance reporting are required regardless of circumstances and will be difficult with a manual, laborious approach. As a result, look for more automated compliance solutions to hit the market.

2.      Data’s Move to the Cloud Hits Warp Speed: As a result of COVID-19, enterprises are expediting their digital transformation and cloud migration efforts at record rates, with no end in sight. Historically, moving legacy data to the cloud hasn’t been easy or fast. As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage.

3.      AI-Fueled Data Governance: Artificial intelligence (AI) has been narrowly tied to internet of things (IoT) with smart features like Alexa, Nest and self-driving cars. However, that definition is too narrow in terms of AI’s relation to data governance. AI will drive automation to ensure an organization’s framework is always accurate and up to date. AI-powered data governance will ensure data environments always stay up to date and controlled, enabling compliance and tagging of sensitive data.

4.      Rise of Data Governance Standards: Despite the rise of data governance, industry-wide standards have been lacking, surprisingly. This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM). The CDM provides a best-practices approach to defining data to accelerate data literacy, automation, integration and governance across the enterprise. We anticipate more standards to be developed and released in CDM’s wake.

5.      EA Becomes Integral to Innovation: Enterprise architecture (EA) is having a resurgence as COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, determine if new opportunities provide a return on investment, etc. Organizations that can identify these opportunities and respond to them have a distinct edge over their competitors. EA will become even more critical to innovation in the year ahead.

6.      Data Becomes a Matter of Life or Death: To say that data will be the difference between life and death in 2021 is not hyperbole. The initial rounds of COVID 19 vaccines are being distributed as I write this. And at the heart of these monumental medical breakthroughs is data. From re-engineering research and development to managing trials and regulatory approvals to setting up manufacturing and distribution, data has made and will continue to make a life-and-death difference. Figuratively, data will mean life or death to businesses around the world to restoring some sort of normal activities, organizations across all industries will rely on data to make it happen. That data will need to be accurate and trusted so it can lead to actionable insights – and it will need to be governed throughout its lifecycle.  

7.      Workplace Humanity: A lesson learned from 2020 is that work is part of life, and the boundaries separating the two shrank considerably. Whether it was via Zoom, Microsoft Teams, Google Hangout, etc., the pandemic forced us to bring our true selves, our spouses, our kids and our pets to work this past year. As a result, we’ve developed a new level of humanity in the workplace, which may be the ultimate silver lining from these dark times. From employees to customers, we’ve had to communicate more, listen more, and help each other more. My hope is that this trend of being human in the workplace extends into 2021 and beyond.

COVID changed everything. However, I believe we will start to see the light at the end of this dark tunnel in 2021. We’ll see innovation accelerate at a pace we haven’t seen in years, perhaps not since the dot-com boom. But to succeed in the new normal and avoid false starts and bad decisions, enterprises must be able to find, navigate, understand and use their most valuable data assets.

For all of us at erwin, I’d like to wish our customers and partners a healthy and happy New Year!

19
Dec

10 trends will help data’s real value come into focus in 2020

From a data perspective, 2019 was truly transformative. Organizations are evolving from data being viewed as an IT issue to increasing adoption of enterprise-wide data literacy.

Additionally, while regulatory compliance and data breaches have historically driven the data governance narrative, we’re now seeing the pendulum shift as organizations finally begin tapping into data as a true strategic asset.

With that said, here are 10 data predictions for 2020:

  • More U.S. states and other countries will adopt data regulations: The General Data Protection Regulation (GDPR) has set the bar, becoming a de facto standard for data security and privacy across Europe as well as other geographies. On January 1, 2020, the California Consumer Privacy Act (CCPA) goes into effect … expect more states, as well as other countries, to replicate these types of data regulations
  • Data catalogs get hot: While some retail catalogers, like Sears, have fallen on hard times, data catalogs are on the rise because the concept works. Gartner even refers to them as “the new black in data management and analytics.” Regardless of industry or initiative, all organizations need an organized data catalog to easily find and understand their data sources.
  • Enterprise data gets in the gamified: Data literacy, enabling employees to derive meaningful insights from data, is going to emerge as a major trend. One way organizations will begin to increase enterprise-wide data literacy is by gamifying it. Employees who demonstrate analytics expertise, critical thinking and story-telling to promote data literacy throughout the organization will be recognized and rewarded for their efforts.
  • Data finds a soul: Highly regulated industries will begin to change their philosophies, embracing data ethics as part of their overall business strategy and not just a matter of regulatory compliance. In addition, ethical artificial intelligence (AI) and machine learning (ML) applications will be used by organizations to ensure their training data sets are well-defined, consistent and of high quality.
  • Government will show the rest of us how to use data to improve service delivery: Government usually lags behind other industries when it comes to innovation. However, local government agencies, particularly those responsible for schools and social services, will lead the way in using data governance to drive digital transformation in providing better services, including safety and security.
  • Data modeling becomes cool again, seriously: Today’s data modeling is not your father’s data modeling. While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling will continue to expand as the fulcrum of collaboration between data generators, stewards and consumers. That’s because it’s the only way to visualize metadata, and metadata is now the heart of enterprise data management and governance/ intelligence efforts.
  • Managing data at the edge: Adoption has been slower than we thought, but this is the year edge computing will take hold because organizations need to view, manage and secure this data and quickly incorporate it into an automated pipeline. For example, IoT device data is often integrated and aggregated with other enterprise data sources but still needs to be documented and governed like any other data. Mapping and cataloging these data sources makes this a manageable challenge.
  • Data valuation becomes the holy grail: Data will finally be treated as a true asset with an actual monetary value assigned to it, just like physical assets, intellectual property and even brands. The ability to discover, understand, govern and socialize data assets, aka data governance, is crucial to this process especially in ensuring data quality and being able to present compelling, data-dependent use cases.
  • The real CDO stands up: Does the “CD” stand for “chief data” or “chief digital” officer? These roles have started to blur, but I predict chief data officer will become the more prominent title and in-demand job because data is central to an organization’s success both from a compliance and day-to-day operational perspective.
  • Marketing and enterprise data collide: As data becomes increasingly democratized throughout the organization, the marketing department will become more connected to the data pipeline and therefore a power player in using data insights to help the enterprise achieve its business goals. Marketing even will get its own line item in the IT budget.
17
Dec

erwin’s Top 10 Data Governance Predictions for 2019

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. The list goes on and on. And then, the European Union’s General Data Protection Regulation (GDPR) took effect, with many organizations scrambling to become compliant.

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