Bridging the Mid-Market Talent Gap for Digital Transformation
Bridging the Mid-Market Talent Gap for Digital Transformation
To achieve business value from data technology investments, mid-market companies need the right technical expertise and talent. Yet many mid-market firms push this onto their IT manager, assuming that since it is technology related, IT has it. This is a mistake because most IT departments do not have time for data analytics. They are busy full time keeping company systems stable and secure, and providing support to your team members. This by necessity results in IT deprioritizing data queries over crucial cybersecurity attack prevention. Business analysts and executives get frustrated waiting for data query results, and the data is stale or the business opportunity has passed by the time query results are in.
But even if your IT team had time for it, it still is a mistake to rely on traditional technology administrators for data analytics success. This is unless your IT department has expertise across a wide range of skill sets, from cloud architecture, database engineering, master data management, data quality, data profiling, and data cleansing. What’s more, your IT manager would need to have command over data integration, data ingestion, data preparation, data security, regulatory compliance, data science, and building pipelines of data ready for executive reporting from multiple cloud and on premises environments.
When you read this laundry list of needs, it becomes clear that most mid-market IT departments lack the specialized experts needed to derive business value from their data. Unlike larger enterprises that have the resources to hire skilled staff for these roles, the mid midsize organization requires another option that provides access to the right tools, resources, and support. One that integrates, enriches and is trained in utilizing AI, machine learning, and predictive analytics to achieve more useful results.
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Why You Need Fresh Insights: Don’t Rely on Stale Data to Make Important Decisions
Why You Need Fresh Insights: Don’t Rely on Stale Data to Make Important Decisions
Too many mid-sized financial services institutions rely on reporting modules from their banking cores to try and understand business performance and make strategic decisions. However, there are problems with this approach.
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Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
Top 3 Actions for CIOs to Take Now in a Recession Economy
Top 3 Actions for CIOs to Take Now in a Recession Economy
The current economy poses a triple threat for business: persistent high inflation; scarce expensive talent; and global supply constraints. However, there are 3 actions CIOs should take to play offense to emerge from a recession on top.
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Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Unlocking the Value of Data Analytics: What Mid-Market Companies Need to Understand
Most mid-market companies make one mistake or another when investing in a data analytics platform, not understanding the many intricacies associated with preparing their data to get the best results. Some of the most common mistakes include:
- Not realizing they need to build pipelines to get the data from their multiple data sources to the analytics platform
- Tasking IT with implementing a data analytics solution, when the IT department does not have data science skillsets
- Basing analytics on data that is riddled with errors, incomplete, or stale, which compromises quality of decision-making due to the inaccuracy and tardiness of the underlying data.
- Relying on the reporting function of one data source and not taking into account data beyond that source for decision-making
- Using dashboards that provide insights into the past only, and not the future – a gap that needs to be bridged to compete with larger enterprises
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Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes
Mid-Market Companies: Here’s How to Manage Your Data for the Best Business Outcomes
To make data usable, you need data management. While some think of data management simply moving your data into a cloud or a data lake, it’s much more than this. True data management should focus on making data informative by correlating and integrating data from multiple disparate sources and systems across your organization, adding third-party sources and transactional data created in daily operations.
Data management should also include:
- Cleansing the data to reduce errors
- Normalizing it so that aggregated information may be used for reporting, analytics, and better decision-making
- Governance for compliance with regulated industry and data privacy laws, and to ensure authorized access
- An audit trail of changes made to the data and which systems are using it
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4 Questions Mid-market Companies Should Ask Themselves About Data Protection
4 Questions Mid-market Companies Should Ask Themselves About Data Protection
When the working world went remote due to the COVID-19 pandemic, many never returned to the office. This created new data-security challenges for many businesses, with an increasing amount of sensitive data now being stowed in the cloud, and workers continuing to access company data from off-site locations.
How safe is cloud security, which now often relies on “zero trust” security principles based on a user’s location rather than user credentials? While some worry that cloud security is less reliable than on-premise security, that’s not actually the case, particularly for mid-market businesses. The fact is that your data is actually more secure in a remote data center managed by security experts than by your in-house IT team.
You may feel a false sense of security by having your IT department guard your servers in a closet — but this strategy is extremely risky when it comes to data protection. It’s not standard for mid-market IT departments to possess expert skills in cloud security and data security, which are needed to properly safeguard data. Many mid-market companies, particularly those not in highly regulated industries, do not currently have Security Operations Centers.
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The Key to Data-Driven Success for Mid-Market Companies Starts Here
The Key to Data-Driven Success for Mid-Market Companies Starts Here
What’s the #1 pain point for IT professionals? According to the business knowledge resource Insights for Professionals, it’s data center management. With this reality in mind, the foundation of digital transformation success for a data-driven business must begin at the data center level, where servers store your data, CPUs power your computations, and your systems are ideally kept stable, operational, and secure for all users, including those accessing company systems and data from multiple remote locations. Competitive mid-market companies rely on data center engineers who specialize in uptime by proactively preventing downtime, as well as connectivity, storage, security, and monitoring.
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Lowering Cybersecurity Insurance Premiums with Managed Security Services
Lowering Cybersecurity Insurance Premiums with Managed Security Services
Midmarket organizations face the threat of cyberattacks that put every organization at great risk. As a result, a greater number of IT professionals are turning to managed security services to lower cybersecurity insurance premiums.
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Aunalytics is a data platform company. We deliver insights as a service to answer your most important IT and business questions.
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The Visible and Invisible Risks of Cryptocurrency for Banks and Credit Unions
The Visible and Invisible Risks of Cryptocurrency for Banks and Credit Unions
The allure of investing early in the “next big thing” has led to increased interest in crypto investment. As a new industry, it is highly unregulated compared to other types of investments and banking. While there is potential for a big win, there is strong potential for a big loss. As a bank or credit union, here’s what you need to know to protect your institution.
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Cybersecurity Controls Checklist
Cybersecurity Controls Checklist
Cybersecurity standards are constantly evolving as cyberattacks get increasingly complex. The following checklist from the Center for Internet Security (CIS) will allow your organization to evaluate whether the correct controls and safeguards are in place to meet global cybersecurity standards.
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