Data Analytics and Business Intelligence
Your Data Has a Story To Tell
Gain Insights into Your Organization with Your Data Using Data Analytics and Business Intelligence
As a business leader, you understand the value data has for your organization. As the amount of data grows, it’s important to stay ahead of the competition by leveraging data analytics and business intelligence to drive the most effective decision-making.
The function of data analytics is not just to accumulate data efficiently. Data analytics should provide a compelling story through your data and allow your organization to enhance decision-making using interactive dashboards, key performance indicators (KPIs), and artificial intelligence. Building a culture where decisions are supported by knowledge rather than your gut feeling can help your organization move swiftly through your digital transformation path.
Data is an Integral Part of Your Digital Journey
When you have a lot of data, the challenge becomes recognizing the signal in the noise. Our data analytics approach allows you to develop data analytics strategies in your most impactful business units. It puts you in the driver’s seat to create the culture necessary to make faster, more impactful decisions.
STEP 1: Information Gathering
The first part of the data analytics journey requires understanding your organization’s data and objectives. This process includes identifying data sources, databases, and datasets, as well as determining whether the information is accurate or redundant. Often, this is the most painful part for business users as it means taking a deep dive into your data. However, this part is an important precursor to the rest of the data analytics workflow.
STEP 2: Data Engineering
Data processing takes time away from business users that should be spent analyzing information and making decisions. We can assist in the process of extracting, transforming and loading (ETL) data for use in analytics. ETL lets businesses automate the pre-processing and loading of information from various sources into a central source for use in analytics.
STEP 3: Analytics and Business Intelligence
Some businesses need organizational-wide analytics while others seek solutions for only one department or function. Often, it’s the smaller analytics approaches that are most successful at developing business intelligence transformation throughout an organization. Creating just one dashboard with only a handful of KPIs can develop the cultural shift that is necessary. Further, mobile and desktop reporting make accessing analytics easy for all users.
STEP 4: Artificial Intelligence and Machine Learning
Advanced analytics give organizations the most value in the analytics cycle. Whether an organization needs to forecast sales, model for different business scenarios, or make predictions about the future, artificial intelligence (AI) can give businesses advanced capabilities to make the most optimal decisions. Unlike in years prior, AI solutions can go online for a business relatively quickly, with minimal effort which means, you can tell your clients that you're driving your business with AI!
Evolve with Data Insights Specific to Your Industry
The EisnerAmper Digital team partners with the firm’s industry leaders in delivering analytics solutions specifically tailored to meet the needs of different organizations. See some of the use cases below where EisnerAmper Digital utilized data analytics to provide value for our clients.
Gain Crystal Clear Insights from Your Data in Any Industry
If there’s data, business intelligence should always play a part. No matter the industry, department, or size of an organization, data analytics can make even the smallest impact provide immediate, lasting value.
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