Syncsort has released a new webinar, Building Rules for Data Governance, which is available to download on-demand. Complete trust in your data is difficult to achieve without data quality and data governance. Data quality in the enterprise can have an effect on many areas of a business, including: compliance, decision making, customer centricity, brand reputation, and risk mitigation. Data governance offers a set of policies, processes, rules, roles, and responsibilities that help organizations manage data as a corporate asset. The Relationship Between Data Quality and Data Governance Data qua ..read more

Your business runs on big data, but mission-critical data is only an advantage if it’s accessible and trustworthy. Organizations struggle to address data risks when assets live in hard-to-access siloes. Furthermore, untrustworthy data is a barrier to compliance and digital transformation initiatives like analytics and AIOps. Data governance is a top focus for 62 percent of audit departments this year, according to Gartner. Despite the renewed focus, many audit teams recognize a need for improvement. Only 26 percent of internal auditors feel prepared for regulatory governance requirem ..read more

Enterprise use of Artificial Intelligence (AI) and Machine Learning (ML) is growing rapidly. A 2019 report by Gartner reveals that over the previous four years, the number of enterprises employing AI grew by 270 percent. It’s easy to understand why. AI and ML are leading-edge technologies that provide an unprecedented ability to extract useful and actionable insights from corporate data. AI and ML algorithms work by sensing hidden patterns in data that are often so subtle that human beings can’t even detect them, let alone understand or apply them. To accomplish this feat, AI algorithms mus ..read more

“Good” has never been the same as “great”. Studies show a “good” understanding of enterprise big data has the same average odds as a coin toss. Fourteen percent of organizations feel they have a very good understanding of enterprise data, per the 2019 Data Quality Survey. Over one-third define “good” as understanding 50-70 percent of data. Understanding 50 percent of data assets is a coin toss, not a foundation for analytics.  Understanding data is the first step for the enterprise, but it’s not the final goal. Organizations need data governance, a framework for decisions on data and rel ..read more

If someone were to ask you about your data architecture, how would you respond? Would you proudly declare it was modern, effective, and efficient, that it allowed for the easy and fast access to mission-critical information? Or, would you hesitate and provide some vague answer about how “it works just fine, thanks”? If you fall into the second camp, you’re not alone. Read on to learn about best practices for modernizing your data architecture, including the right tools to achieve those goals.  Remove the Barriers to Handling Big Data Did you know that by 2020, experts predict that eve ..read more

Syncsort has released a white paper, Data Governance Strategies for Addressing CCPA Requirements, which summarizes the California Consumer Privacy Act’s (CCPA) key data privacy requirements and explains how they compare to the mandates of the GDPR. January 1, 2020, marked the start of not only a new decade, but also a new set of data governance challenges that will impact companies around the world. The CCPA imposes significant additional requirements to the ways in which companies manage data related to the consumers with whom they interact. Effective data governance is the key to CCPA ..read more

Syncsort has released a new white paper, Three Ways Data Quality Can Supercharge Data Governance Programs. With growing regulations and greater public concern over data privacy, companies are increasingly focused on data governance. Yet there’s no single way for a business to approach data governance that will ensure perfect results. Companies can adopt a number of different strategies, all of which can be made more effective when bolstered by key data quality capabilities and processes. Strong data governance is built by applying data quality capabilities like data profiling, data dedu ..read more

If the IT landscape was a beach, a set of massive waves would be about to crash onto the shore. A number of new technologies have made their way into the market recently. These new technologies will have a significant impact on the enterprise since companies will have to figure out how these solutions will interact with their existing data and data infrastructure.  In May 2019, Syncsort introduced an industry initiative to converge “next wave” technologies and legacy infrastructure. Read on to learn about how you can get more out of legacy data with hybrid cloud, streaming, AI, blockchain ..read more

Syncsort’s has released a new white paper, Three Reasons Your Data Governance Initiatives are Failing. Data governance has become a primary concern of companies everywhere. And with good reason – businesses must have strong data governance in order to mitigate risks as thoroughly as possible. With growing regulations and greater public concern over data privacy, companies are increasingly focused on data governance. With a data governance strategy that prioritizes data quality, companies can find ways to maximize the value of their data and monetize it. It can be the foundation of better a ..read more

This article on data governance and data quality use cases was originally published on Dataversity by Paramita Ghosh. Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of the Game: Proactive Data Governance reviews the role of Data Quality (DQ) in an enterprise Data Governance (DG) framework, an ..read more