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5 Best Practices to Increase Productivity with Data

By |2021-03-02T19:58:00-05:00March 2nd, 2021|Information Governance and Management|

Productive companies compete more effectively in the marketplace. They also generally report increased profitability, improved employee engagement, happier customers, and opportunities for growth. Knowing best practices to measure and increase productivity with data will help your business thrive. Traditional methods of measuring productivity can prove misleading. For instance, an employee may look busy, work many hours, or even generate large numbers of finished products. But inefficiently used time and low-quality work actually reduce productivity. When businesses gather the right data and analyze it effectively, they can identify top performers as well obstacles that stand in the way of productivity. Armed

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Messaging Architects IG Experts to Present at Annual CONFIRM NYC Conference

By |2021-02-23T12:58:04-05:00February 23rd, 2021|Information Governance and Management, Press Releases|

eMazzanti Technologies and Messaging Architects, an eMazzanti company, join other high-profile organizations in sponsoring the 2021 CONFIRM NYC conference hosted by the Metro NYC chapter of ARMA, March 2-3, 2021. We are pleased to announce that Carl Mazzanti (President of eMazzanti Technologies) and Greg Smith (VP of Service Delivery at Messaging Architects) will present on the topic of digital transformation in records management at the conference. The annual conference brings together records and information management professionals for educational sessions on a broad range of topics. Specifically, this year’s sessions cover future IG trends, cloud solutions, remote work implications for records

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Mobile Retail Data Delivers Increased Value through Data Governance

By |2021-02-18T03:01:21-05:00January 27th, 2021|Data Compliance, Information Governance and Management|

Retail sales have moved increasingly online in recent years, and mobile devices account for over half of the global website traffic. The pandemic turbo-charged the trend, resulting in 72 percent of consumers shopping via smartphone or tablet device. This increase in mobile purchasing has brought an explosion of mobile retail data, and retailers must adapt. Benefits of Mobile Commerce Mobile commerce (also known as M-commerce) includes selling and buying products and services using mobile devices such as smartphones and tablets. From a handheld device, shoppers can order groceries, pay for movie tickets, deposit checks, or pay for a haircut. For

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3 Critical Data Governance Benefits for SMB Retailers

By |2021-01-18T01:32:58-05:00January 13th, 2021|Information Governance and Management|

In today’s marketplace, small retail businesses depend on data to drive business processes and stay competitive. But that data must remain secure, relevant and accessible if it is to deliver value. Reduced risk, increased trust and improved sales rank high among the data governance benefits for SMB retailers. Data governance includes interconnected policies, beginning with identifying and categorizing data and determining rules for data retention and archiving. Additionally, a comprehensive data governance policy must ensure cyber security and regulatory compliance. Implementing solid data governance takes careful planning, but it delivers key advantages. 1. Reduce Risk Because effective business strategy requires

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Changing Data Privacy Laws and Retail Consumer Trust

By |2021-01-18T01:29:46-05:00January 6th, 2021|Data Compliance, Information Governance and Management, Privacy|

Recently, we reported on the outlook for state and federal data privacy regulations. The changing regulatory landscape we find affects the retail industry directly in several ways.  Often caught in the middle, merchants scramble to comply with changing data privacy laws while striving to build customer trust and maintain a competitive edge. The digital revolution that empowers consumers with many shopping choices has fundamentally changed the retail business model. In response to changing consumer attitudes, retail industry leaders now seek a federal privacy framework to bring order and predictability to the evolving patchwork of state data privacy laws. Proposed Data

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Automating Data Governance to Stay Ahead of Exploding Data Volume

By |2021-01-18T01:27:45-05:00December 30th, 2020|Data Compliance, Information Governance and Management, Technology|

Organizations generate huge amounts of data every day. Properly governed, that data can drive business strategy and decision-making. However, while essential, data governance can also prove complicated and time-consuming. Automating data governance can save time and money, simplify regulatory compliance, and improve decision making. Automated tools such as artificial intelligence (AI), machine learning and robotic process automation (RPA) take care of redundant tasks. In addition, through identifying patterns, these technologies can strengthen data security and improve accuracy. And with automated data lineage and classification, organizations gain quicker access to trustworthy data. Augment Cyber Security with Machine Learning AI has become

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5 Data Governance Best Practices for 2021

By |2021-01-18T01:18:43-05:00December 22nd, 2020|Data Compliance, Information Governance and Management, Privacy|

The challenges of 2020 have required organizations to adjust their focus moving forward. Millions of workers have switched to remote work, a trend likely to continue long-term. At the same time, the expansion of data privacy regulations in an era of big data creates additional challenges. The data governance best practices listed below can help you stay on top. Data governance incorporates the processes and rules that guide the use of information, thus helping to ensure that users have access to quality data. Some benefits of data governance include increased productivity, reduced risk and simplified regulatory compliance. 1. Structure Data

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Business Process Modeling Used to Enhance Data Governance

By |2020-12-16T08:03:08-05:00December 9th, 2020|Data Compliance, Information Governance and Management|

Data Governance policies specify who has access to data when, and who is accountable for the information. They also govern how the data is stored and maintained, mapped between systems, secured, backed up, and archived. By visually representing these activities and relationships, business process modeling emerges as an effective tool for enhancing data governance practice. Business Process Modeling Communicates Policy The growing number of industry regulatory standards that influence data governance means that more companies have to deal with compliance. These regulations include: Sarbanes–Oxley (Financial Reporting) Basel I, II, and III (International Banking) HIPAA (Healthcare) GDPR, CCPA, SHIELD, etc. (Data

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Data Literacy Drives Corporate Strategy and Marketing Success

By |2020-12-16T04:17:57-05:00December 1st, 2020|Information Governance and Management|

Business leaders devote considerable resources to implementing data-driven marketing campaigns and corporate strategy. However, if decision makers lack sufficient data literacy, they can easily misinterpret or mis-apply the data. This too often results in costly mistakes and loss of revenue. Data literacy includes the ability to properly understand and evaluate data, then use and communicate that information effectively to drive business outcomes. This implies understanding data sources and context. It also involves the ability to read charts, draw appropriate conclusions and recognize red flags that indicate problems with the data. Understand the Importance of Data Literacy Consider some of the

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